Universiteit Leiden

nl en

Willem Heiser

Professor emeritus

Name
Prof.dr. W.J. Heiser
Telephone
+31 71 527 2727
E-mail
heiser@fsw.leidenuniv.nl

 

More information about Willem Heiser

Short CV

Prof. Willem Heiser is Professor Emeritus in Psychology, Methodology and Statistics at the Leiden Faculty of Social and Behavioural Sciences. Also, he is Professor Emeritus in Data Theory at the Leiden Faculty of Science.

Research

Heiser focuses on what causes the methodology to become a unified subject and on the history of statistics and probability theory. His research covers the multivariate analysis, multidimensional scaling techniques, and methods for classification.

Professor emeritus

  • Faculteit der Sociale Wetenschappen
  • Faculteitsbureau
  • Emeriti FSW

Professor emeritus Data theory

  • Science
  • Mathematisch Instituut
  • Mathematisch Instituut
  • Schie C.C. van, Chui-De Chiu, Rombouts S.A.R.B., Heiser W.J. & Elzinga B.M. (2022), Finding a positive me: affective and neural insights into the challenges of positive autobiographical memory reliving in borderline personality disorder, Behaviour Research and Therapy 158: 104182. article in journal: refereed
  • Yuan B., Heiser W. & Rooij M. de (2021), A comparison of two dissimilarity functions for mixed-type predictor variables in the δ-machine, Advances in Data Analysis and Classification : . article in journal: refereed
  • Yuan B., Heiser W. & Rooij M. de (2019), The δ-Machine: Classification Based on Distances Towards Prototypes, Journal of Classification 36(3): 442-470.
  • Van Schie C.C., Chui-De C., Rombouts S.A.R.B., Heiser W.J. & Elzinga B.M. (2019), When I relive a positive me: Vivid autobiographical memories facilitate autonoetic brain activation and enhance mood, Human Brain Mapping 40(16): 4859-4871.
  • Meijer E., Cleiren P.H.D., Dusseldorp E., Buurman V.J.C., Hogervorst R.M. & Heiser W.J. (2019), Cross-Validated Prediction of Academic Performance of First-Year University Students: Identifying Risk Factors in a Nonselective Environment, Educational Measurement: Issues and Practice 38(1): 36-47.
  • Schie C.C. van, Chui-De C., Rombouts S.A.R.B., Heiser W.J. & Elzinga B.M. (2020), Stuck in a negative me: fMRI study on the role of disturbed self-views in social feedback processing in borderline personality disorder, Psychological Medicine 50(4): 625-635.
  • Wijsen L.D., Borsboom D., Cabacao T. & Heiser W.J. (2019), An Academic Genealogy of Psychometric Society Presidents, Psychometrika 84(2): 562-588.
  • D'Ambrosio A. & Heiser W.J. (2019), A distribution-free soft-clustering method for preference rankings, Behaviormetrika 46(2): 333-351.
  • Feijt A.A., Mol S.E., Espin C.A., d'Ambrosio A. & Heiser W.J. (2019), Instructional factors that influence learning from university lectures: Opinions of students with and without disabilities. 1st SRLD Conference, Padua. 1st SRLD Conference 7 June 2019 - 8 June 2019.
  • Moormann P.P., De Gucht V., Heiser W. & Bermond B. (2018), The impact of alexithymia types on somatisation when controlling for gender and psychological distress. In: Teixeira R.J., Bermond B. & Moormann P.P. (Eds.), Current Developments in Alexithymia, a Ccognitive and Affective Deficit.. New York: Nova Science Publishers. 219-237.
  • Van Schie C.C., Chiu C., Rombouts S.A.R.B., Heiser W.J. & Elzinga B.M. (2018), When compliments do not hit but critiques do: an fMRI study into self-esteem and self-knowledge in processing social feedback, Social Cognitive and Affective Neuroscience 13(4): 404-417.
  • Stevenson C.E., Heiser W.J. & Resing W.C.M. (2016), Dynamic testing of analogical reasoning in 5-to 6-year-olds: Multiple-choice versus constructed-response training items, Journal of Psychoeducational Assessment 34(6): 550-565.
  • Fagginger Auer M.F., Hickendorff M., Putten C.M. van, Béguin A.A. & Heiser W.J. (2016), Multilevel latent class analysis for large-scale educational assessment data: Exploring the relation between the curriculum and students' mathematical strategies, Applied Measurement in Education 29(2): 144-159.
  • Heiser W.J. & Hubert L. (2016), A creation narrative for the Psychometric Society and Psychometrika: In the beginning there was Paul Horst, Psychometrika 81(4): 1172-1176.
  • D'Ambrosio A. & Heiser W.J. (2016), A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances, Psychometrika 81(3): 774-794.
  • Heiser W.J. & Hubert L. (2016), Commemorating the 80th anniversary of the founding of Psychometrika: Introduction by the guest editors, Psychometrika 81(4): 1170-1171.
  • Stevenson C.E., Heiser W.J. & Resing W.C. (2016), Dynamic testing: Assessing cognitive potential of children with culturally diverse backgrounds, Learning and Individual Differences 47: 27-36.
  • Heiser W.J. (31 January 2014), Psychologie van het statistisch denken / Psychology of statistical thinking. Afscheidsrede / Address. Psychology, Leiden. [lecture].
  • Stevenson C.W., Bergwerff C., Heiser W.J. & Resing W.C.M. (2014), Working memory and dynamic measures of analogical reasoning as predictors of children's math and reading achievement, Infant and Child Development 23(1): 51-66.
  • Vera F.J., De Rooij M.J. & Heiser W.J. (2014), A latent class distance association model for cross-classified data with a categorical response variable, British Journal of Mathematical and Statistical Psychology 67(3): 514-540.
  • Heiser W.J. & Meulman J.J. (2014), Borrowing strength from multi-way thinking by attacking two-way problems with multi-way methods. Invited paper at the symposium in honor of P.M. Kroonenberg, Leiden University, 14 November 2014. [lecture].
  • Heiser W.J. (2014), Editorial, Journal of Classification 31(3): 273.
  • Heiser W.J. (2014), Editorial, JOURNAL OF CLASSIFICATION 31(2): 135.
  • Heiser W.J. (2014), From preference mapping to preference learning, with an example of a prediction tree for rankings. Conference paper 25th Anniversary jubilee meeting of the VOC (Dutch Classification Society), Kerkrade . 25th Anniversary jubilee meeting of the VOC (Dutch Classification Society) 6 November 2014 - 7 November 2014.
  • Heiser W.J., Amodio S. & D’Ambrosio A. (2014), Multidimensional unfolding and clustering of preferences: A new simulation design. Conference paper Dagstuhl Seminar "Preference Learning", Leibnitz. Dagstuhl Seminar "Preference Learning". 3 March 2014 - 7 March 2014.
  • Heiser W.J. & Busing F.M.T.A. (2014), Regularization with coefficient of variation in loss functions for nonmetric unfolding. Conference paper Annual meeting of the Psychometric Society, Madison . Annual meeting of the Psychometric Society 22 July 2014 - 27 July 2014.
  • Stevenson C.E., Heiser W.J. & Resing W.C.M. (2013), Working memory as a moderator of training and transfer of analogical reasoning in children, Contemporary Educational Psychology 38(3): 159-169.
  • Heiser W.J. (2013), A chorus line: Hoe de psychologie in Leiden westwaarts keerde. In: Holsteyn J. van, Mom R., Smit I., Tromp H. & Wolters G. (Eds.), Vensters op het verleden: 50 jaar FSW.. Utrecht: Biblioscope. 22-41.
  • Heiser W.J. (2013), A chorus line how Psychology in Leiden turned west. In: Holsteyn J. van, Mom R., Smit I., Tromp H. & Wolters G. (Eds.), Perspectives on the past: 50 year of FSW. Utrecht: Biblioscope. 22-41.
  • Vera J.F., Macias R. & Heiser W.J. (2013), Cluster differences unfolding for two-way two-mode preference rating data, JOURNAL OF CLASSIFICATION 30(3): 370-396.
  • Heiser W.J. & D'Ambrosio A. (2013), Clustering and prediction of rankings within a Kemeny distance framework. In: Lausen B., Poel D. van den & Ultsch A. (Eds.), Algorithms from and for nature and life. Studies in classification, data analysis and knowledge organization: Springer International Publishing Switzerland. 19-31.
  • Heiser W.J. & D'Ambrosio A. (2013), Clustering and prediction of rankings within a Kemeny distance framework. In: Lausen B., Poel D. van den & Ultsch A. (Eds.), Algorithms from and for nature and life. Studies in classification, data analysis and knowledge organisation: Springer International Publishing Switzerland.. 19-31.
  • Stevenson C.E., Hickendorff M., Resing W.C.M., Heiser W.J. & De Boeck P.A.L. (2013), Explanatory item response modeling of children's change on a dynamic test of analogical reasoning, Intelligence 41(3): 157-168.
  • Heiser W.J. (Ed.) (2013), . JOURNAL OF CLASSIFICATION.
  • Heiser W.J. (Ed.) (2013), . JOURNAL OF CLASSIFICATION.
  • Heiser W.J. (2013), In memoriam J. Douglas Carroll, Psychometrika 78(1): 5-13.
  • Heiser W.J. (11 October 2012), De evolutie van de statistiek. 10th Anniversary of the Centre for Policy related statistics of CBS (Statistics Netherlands). Leiden. [lecture].
  • Heiser W.J. & d'Ambrosio A. (9 July 2012), Classification of rankings within a Kemeny distance framework. IMPS 2012 77th annual meeting of the Psychometric Society. Lincoln, Nebraska, USA. [lecture].
  • Heiser W.J. & d'Ambrosio A. (14 June 2012), Clustering of rankings using Kemenyu distances. CSNA 2012. Pittsburgh, Pennsylvania, USA. [lecture].
  • Polak M.G., Rooij M.J. de & Heiser W.J. (2012), A model-free diagnostic for single-peakedness of item responses using ordered conditional means, Multivariate Behavioral Research 47(5): 743-770.
  • Heiser W.J. (Ed.) (2012), Editor Journal of Classification. Journal of Classification.
  • Heiser W.J. (2012), J. Douglas Carroll 1939-2011 In Memoriam, Journal of Classification 29(3): 263-276.
  • Spinhoven P., Rooij M.J. de, Heiser W.J., Smit J.H. & Penninx B.W.J.H. (2012), Personality and changes in comorbidity among anxiety and depressive disorders, Journal of Abnormal Psychology 121(4): 874-884.
  • Meulman J.J. & Heiser W.J. (2012), SPSS Categories 20.0. Chicago, USA: SPSS Inc..
  • De Jong K., Van Sluis P., Nugter M.A., Heiser W.J. & Spinhoven P. (2012), Understanding the differential impact of outcome monitoring: Therapist variables that moderate feedback effects in a randomized clinical trial, Psychotherapy Research 22(4): 464-474.
  • Heiser W.J. & d'Ambrosio A. (31 August 2011), Custering and prediction of rankings within a kemeny distance framework. invited speaker at the Joint Conference of the German Classification Society (GfKl). Frankfurt am Main. [lecture].
  • Heiser W.J. (18 July 2011), Explanatory unfolding models for prediction of judgment and choice. 76th annual and 17th international meeting of the Psychometric Society (IMPS2011). HongKong. [lecture].
  • Heiser W.J. (Ed.) (2011), . Measurement: Interdisciplinary Research and Perspectives.
  • Heiser W.J. (Ed.) (2011), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2011), . Journal of Classification.
  • Heiser W.J. & Warrens M.J. (2010), Families of relational statistics for 2X2 tables. In: Kaul H. & Mulder H.M. (Eds.), Advances in Interdisciplinary Applied Discrete Mathematics. Singapore: World Scientific. 25-52.
  • Hickendorff M., Van Putten C.M., Verhelst N.D. & Heiser W.J. (2010), Individual differences in strategy use on division problems: Mental versus written computation, Journal of Educational Psychology 102(2): 438-452.
  • Busing F.M.T.A. & Heiser W.J. (2010), Restricted unfolding: Preference analysis with optimal transformations fo preferences and attributes, Food Quality and Preference 21: 82-92.
  • Polak M.G., Van H.L., Overeem-Seldenrijk J., Heiser W.J. & Abraham R.E. (2010), The developmental profile: Validation of a theory driven instrument for personality assessment, Psychotherapy Research 20: 259-272.
  • Rooden S.M. van, Heiser W.J., Kok J., Verbaan D., Hilten Jacobus J. & Marinus Johan (2010), The identification of Parkinson's disease subtypes using cluster analysis: a systematic review, Movement Disorders 25(8): 969-978.
  • Heiser W.J. (20 August 2009), Statistics meets psychology: the inspiration of John van de Geer. Invited lecture on the occasion of the start of the master's program Statistical Science for the life and behavioral sciences.. Leiden. [lecture].
  • Heiser W.J. & Warrens M.J. (24 July 2009), Detecting complete positive regression: using the dominant axis of correspondence analysis. IMPS 2009, the 74th annual meering of the Psychometric Society.. Cambridge, England. [lecture].
  • Vera J.F., Macias R. & Heiser W.J. (2009), A dual latent class unfolding model for two-way two-mode preference rating data, Computational Statistics & Data Analysis 53: 3231-3244.
  • Vera J.F., Macias R. & Heiser W.J. (2009), A latent class multidimensional scaling model for two-way one-mode continuous rating dissimilarity data, Psychometrika 74: 297-315.
  • Warrens M.J. & Heiser W.J. (2009), Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution, Computational Statistics & Data Analysis 53: 3139-3144.
  • Heiser W.J. (Ed.) (2009), . Measurement: Interdisciplinary Research and Perspectives.
  • Heiser W.J. (Ed.) (2009), . Journal of Classification.
  • Heiser W.J. (Ed.) (2009), . Applied Psychological Measurement.
  • Hickendorff M., Heiser W.J., Van Putten C.M. & Verhelst N.D. (2009), How to measure and explain achievement change in large-scale assessments: A rejoinder, Psychometrika 74: 367-374.
  • Hickendorff M., Heiser W.J., Van Putten C.M. & Verhelst N.D. (2009), Solution strategies and achievement in Dutch complex arithmetic: Latent variabel modeling of change, Psychometrika 74: 331-350.
  • Spinhoven P., Rooij M.J. de, Heiser W.J., Smit J. & Penninx B.W. (2009), The role of personality in comorbidity among anxiety and depressive disorders in primary care and specialty care: A cross-sectional analysis, General Hospital Psychiatry 31: 470-477.
  • Polak M.G., Heiser W.J. & Rooij M.J. de (2009), Two types of single-peaked data: correspondence analysis as an alternative to principal component analysis, Computational Statistics & Data Analysis 53: 3117-3128.
  • Heiser W.J. & Warrens M.J. (6 June 2008), Horseshoe effects in multiple correspondence analysis: distance transformations that let them disappear. CSNA 2008 Annual meeting of the Classification society of North America. St Louis. [lecture].
  • De Jong K., Nugter A., Polak M., Wagenborg H., Spinhoven P. & Heiser W. (2008), The Dutch version of the Outcome Questionnaire (OQ-45): a cross-cultural validation, Psychologie & Gezondheid 36(1): 35-45.
  • Hickendorff M., Heiser W.J., Van Putten C.M. & Verhelst N.D. (2008), Clustering nominal data with equivalent categories, Behaviormetrika 35(1): 35-54.
  • De Jong K., Nugter M.A., Polak M.G., Wagenborg J.E.A., Spinhoven P. & Heiser W.J. (2008), De Nederlandse versie van de Outcome Questionnaire (OQ-45): Een crossculturele validatie, Engaging Science, Technology, and Society 36: 35-45.
  • Frank L.E. & Heiser W.J. (2008), Feature selection in feature network models: Finding predictive subsets of features with the positive lasso, British Journal of Mathematical and Statistical Psychology 61: 1-27.
  • Heiser W.J. (Ed.) (2008), . Measurement: Interdisciplinary Research and Perspectives.
  • Heiser W.J. (Ed.) (2008), . Journal of Classification.
  • Heiser W.J. (Ed.) (2008), . Applied Psychological Measurement.
  • De Gucht V.M.J., Maes S. & Heiser W.J. (2008), Is there a reciprocal relationship between health behaviour and psychological and somatic distress?, International Journal of Psychology 43: 594-594.
  • Heiser W.J. & Warrens M.J. (2008), On the recovery of the consecutive ones property by generalized averaging algorithms. In: Shigemasu K., Okada A., Imaizumi T. & Hoshino T. (Eds.), New trends in psychometrics.. Tokio: University Academic Press. 107-110.
  • Heiser W.J. (2008), Psychometric roots of multidimensional data analysis in the Netherlands: From Gerard Heymans to John van de Geer, Journ@l Electronique d'Histoire des Probabilités et de la Statistique / Electronic Jour@l for History of Probability and Statistics 4(2): 1-25.
  • Warrens M.J., Gruijter D.N.M. de & Heiser W.J. (2007), A systematic comparison between classical optimal scaling and the twoparameter IRT model, Applied Psychological Measurement 31(2): 106-120.
  • Frank L.E. & Heiser W.J. (2007), Estimating standard errors in feature network models, British Journal of Mathematical and Statistical Psychology 60: 1-28.
  • Vera J.F., Murillo A. & Heiser W.J. (2007), Global optimization in any Minkowski metric: a permutation-translation simulated annealing algorithm for multidimensional scaling, Journal of Classification 24: 277-301.
  • Deun K. van, Marchal K., Heiser W.J., Engelen K. & Mechelen I. van (2007), Joint mapping of genes and conditions via multidimensional unfolding analysis, BMC Bioinformatics 8(181): 1-8.
  • Deun K. van, Heiser W.J. & Delbeke L. (2007), Multidimensional unfolding by nonmetric multidimensional scaling of Spearman distances in the extended permutation polytope, Multivariate Behavioral Research 42: 103-132.
  • Heiser W.J. & Meulman J.J. (2007), Noise or signal? The dilemma of individual differences. In: Groen A. in 't, Jonge H.J. de, Klasen E., Papma H. & Slooten P. van (Eds.), Knowledge in Ferment. Dilemmas in science, scholarship and society. Leiden: Leiden University Press. 71-83.
  • Rooden S.M. van, Verbaan D., Visser M., Marinus J., Verduin C.J., Heiser W.J. & Hilten J.J. van (2007), Profiling subgroups of cognitive performance in Parkinson's disease, Parkinsonism & Related Disorders 13: S187.
  • Warrens M.J. & Heiser W.J. (2007), Robinson Cubes. In: Brito P., Bertrand P., Cucumel G. & Caravalho F. de (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Vol. 9: Selected contributions in data analysis and classification.. Berlin: Springer. 515-523.
  • Gravely-Witte S., De Gucht V.M.J., Heiser W.J., Grace S.L. & Elderen-Van Kemenade T.M.T. van (2007), The impact of angina and cardiac history on health-related quality of life and depression in coronary heart disease patients, Chronic Illness 3: 66-76.
  • De Jong K., Nugter M.A., Polak M.G., Wagenborg J.E.A., Spinhoven P. & Heiser W.J. (2007), The Outcome Questionnaire (OQ-45) in a Dutch population: A cross-cultural validation, Clinical Psychology and Psychotherapy 14: 288-301.
  • Heiser W.J. (12 October 2006), Spatial analysis of preferences and attitude data allowing for differences between actors and effects of occasions. Invited address for the Polish SPSS user conference. Krakow, Poland. [lecture].
  • Deun K. van, Mechelen I. van & Heiser W.J. (1 August 2006), Joint mapping of genes and conditions via non-metric multidimensional unfolding analysis. COMPSTAT'2006, the 17th conference of IASC-ERS. Rome, Italy. [lecture].
  • Heiser W.J. & Frank L.E. (1 July 2006), Network representations of city-block models. International Federation of Classification Societies, IFCS'2006. Ljubljana, Slovenia.. [lecture].
  • Heiser W.J. & Frank L.E. (1 June 2006), Network representations of city-block models. IMPS'2006, the 71th Annual meeting of the Psychometric Society. Montreal, Canada. [lecture].
  • Polak M.G., Heiser W.J. & Rooij M.J. de (1 June 2006), Testing single-peakedness of item responses. IMPS'2006, the 71th Annual meeting of the psychometric society. Montreal, Canada. [lecture].
  • Frank L.E. & Heiser W.J. (1 May 2006), Standard errors, prediction error and model tests in additive trees. Annual meeting of the Classification Society of North America (CSNA). Piscataway, U.S.A.. [lecture].
  • Heiser W.J. (2006), Editorial, JOURNAL OF CLASSIFICATION 23(1): 1-2.
  • Heiser W.J. (2006), Editorial, Journal of Classification 23(2): 173-173.
  • Craen S. de, Commandeur J.J.F., Frank L.E. & Heiser W.J. (2006), Effects of group size and lack of sphericity on the recovery of clusters in K-means cluster analysis, Multivariate Behavioral Research 41(2): 127-145.
  • Heiser W.J. (Ed.) (2006), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2006), . Measurement: Interdisciplinary Research and Perspectives.
  • Heiser W.J. (Ed.) (2006), . Journal of Classification.
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (2006), Local minima in categorical multiple regression, Computational Statistics & Data Analysis 50: 446-462.
  • Heiser W.J. (2006), Measurement without copper instruments and experiment without complete control, Psychometrika 71: 457-461.
  • Warrens M.J. & Heiser W.J. (2006), Scaling Unidimensional Models with Multiple Correspondence Analysis. In: Greenacre M. & Blasius J. (Eds.), Multiple Correspondence Analysis and Related Methods. London: Chapman & Hall/CRC. 219-235.
  • Murillo A., Vera J.F. & Heiser W.J. (2005), A permutation-translation simulated annealing algorithm for L1 and L2 Undidimensional scaling, Journal of Classification 22: 119-138.
  • Busing F.M.T.A., Groenen P.J.F. & Heiser W.J. (2005), Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation, Psychometrika 70: 71-98.
  • Heiser W.J. (2005), Editorial, JOURNAL OF CLASSIFICATION 22(1): 1-2.
  • Heiser W.J. (2005), Editorial, JOURNAL OF CLASSIFICATION 22(2): 147-148.
  • Rooij M.J. de & Heiser W.J. (2005), Graphical representations and odds ratios in a distance association model for the analysis of cross classified data, Psychometrika 70: 99-122.
  • Heiser W.J. (Ed.) (2005), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2005), . Journal of Classification.
  • Kloot W.A. van der, Spaans M. & Heiser W.J. (2005), Instability of hierarchical cluster analysis due to input order of the data: The PermuCLUSTER solution, Psychological Methods 10: 468-476.
  • Deun K. van, Groenen P.J.F., Heiser W.J., Busing F.M.T.A. & Delbeke L. (2005), Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model, Psychometrika 70: 45-69.
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (2005), Local minima in categorical multiple regression, Computational Statistics & Data Analysis : 446-462.
  • Warrens M.J., Heiser W.J. & Gruijter D.N.M. de (2005), Reparametrization of homogeneity analysis to accommodate parallel item response functions, Behaviormetrika 32(2): 127-139.
  • Verduin C.J. & Heiser W.J. (2005), Spreiding zonder fouten; hoe de standaarddeviatie tot stand kwam als maat voor verscheidenheid, STAtOR 6(3): 14-20.
  • Meulman J.J. & Heiser W.J. (2005), SPSS Categories 14.0 - CD Rom. Chicago: SPSS Inc..
  • Frank L.E. & Heiser W.J. (16 June 2004), Statistical inference in feature network models and additive trees. IMPS 2004, The 69th Annual Meeting of the Psychometric Society. Pacific Grove, CA. [lecture].
  • Heiser W.J. (2004), Editorial, JOURNAL OF CLASSIFICATION 21(2): 163-164.
  • Heiser W.J. (2004), Editorial, Journal of Classification 21(1): 1-1.
  • Heiser W.J. (2004), Geometric representation of association between categories, Psychometrika 69: 513-546.
  • Heiser W.J. & Busing F.M.T.A. (2004), Multidimensional scaling and unfolding of symmetric and asymmetric proximity relations. In: Kaplan D. (Ed.), The SAGE Handbook of Quantitative Methodology for the Social Sciences. Thousand Oaks, CA: Sage. 25-48.
  • De Gucht V.M.J., Fischler B. & Heiser W.J. (2004), Neuroticism, alexithymia, negative affect, and positive affect as determinants of medically unexplained symptoms, Personality and Individual Differences 36: 1655-1667.
  • De Gucht V.M.J., Fischler B. & Heiser W.J. (2004), Personality and affect as determinants of medically unexplained symptoms in primary care. A follow up study, Journal of Psychosomatic Research 56(3): 279-285.
  • Meulman J.J., Kooij A.J. van der & Heiser W.J. (2004), Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data. In: Kaplan D. (Ed.), The Sage Handbook of Quantitative Methodology for the Social Sciences. Thousand Oaks, CA: Sage Publications. 49-70.
  • Meulman J.J. & Heiser W.J. (2004), SPSS Categories 13.0. Chicago, Illinois: SPSS Inc..
  • Heiser W.J. (10 December 2003), Barycentric representation of profiles in correspondence analysis: Some new results. Rencontres de la Société Francophone de Calssification. Neuchatel Suisse. [lecture].
  • Heiser W.J. (14 August 2003), Interpretation of between-set distances in correspondence analysis. seminar CTB. Monterey CA USA. [lecture].
  • Heiser W.J. (29 June 2003), Interset distances in the barycentric representation of profiles. CARME 2003 Correspondence Analysis and Related Methods. Barcelona Spain. [lecture].
  • Heiser W.J. & Busing F.M.T.A. (12 June 2003), Ordinal three-way MDS with PROXSCAL: An application of tehe reduced rank model to the Klingberg data. Annual meeting of the Classification Society of North America. Tallahassee Florida USA. [lecture].
  • Heiser W.J. (11 June 2003), Interpretation of between-set distances in correspondence analysis. DIMACS workshop on algorithms for multidimensional scaling,II. Tallahassee Florida USA. [lecture].
  • Rooij M.J. de & Heiser W.J. (2003), A distance representation of the quasi-symmetry model and related distance models. In: Yanai H., Okada O., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychometrics. Tokyo: Springer Verlag. 487-494.
  • De Gucht V.M.J. & Heiser W.J. (2003), Alexithymia and somatisation: A quantitative review of the literature, Journal of Psychosomatic Research 54: 425-434.
  • Heiser W.J. (2003), Barycentric representation of profiles in correspondence analysis: Some new results. In: Dodge Y. & Melfi G. (Eds.), Méthodes et Perspectives en Classification - Comptes rendus des 10èmes Rencontres de la Société Francophone de Classification. Neuchâtel Suisse: PAN. 21-22.
  • Kloot W.A. van der, Bouwmeester S. & Heiser W.J. (2003), Cluster instability as a result of data input order. In: Yanai H., Okada A., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychometrics. Tokyo: Springer Verlag. 487-494.
  • Heiser W.J. (2003), Early Statistical Modelling of Latent Quantities: The History of Distance Measurement by Triangulation. In: Yanai H., Okada A., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychmetrics. Tokyo: Springer Verlag. 33-44.
  • Heiser W.J. (2003), Editorial, Journal of Classification 20(2): 139-140.
  • Heiser W.J. (2003), Editorial, Journal of Classification 20(1): 1-1.
  • Heiser W.J. (Ed.) (2003), . Journal of Classification.
  • Heiser W.J. (Ed.) (2003), . Measurement: Interdisciplinary Research and Perspectives.
  • Heiser W.J. (Ed.) (2003), . Applied Psychological Measurement.
  • De Gucht V.M.J., Fischler B. & Heiser W.J. (2003), Job stress, personality, and psychological distress as determinants of somatization and functional somatic syndromes in a population of nurses, Stress and Health 19: 195-204.
  • Frank L.E., Rooij M.J. de & Heiser W.J. (2003), Monte Carlo simulation in three-way unfolding: Assessing the combined effects of sparseness and variation of the cell frequencies. In: Yanai H., Okada A., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychometrics. Tokyo: Springer Verlag. 511-518.
  • Heiser W.J. (2003), Trust in relations, Measurement: Interdisciplinary Research and Perspectives 1: 264-269.
  • De Gucht V.M.J., Fischler B. & Heiser W.J. (2 October 2002), Neuroticism, alexithymia, negative affect, and positive affect as determinants of medically unexplained symptoms. 16th Conference of the European Health Psychology Society. Lisbon (Portugal). [lecture].
  • Roman Y., Heiser W.J. & Gonzalez A. (24 August 2002), MDS and Cluster Analysis for Big Sets of Dissimilarity Data (Poster). CompStat' 2002: XVth Conference on Computional Statistics. Berlijn. [lecture].
  • Deun K. van, Groenen P.J.F., Heiser W.J., Busing F.M.T.A. & Delbeke L. (18 July 2002), A combined vector-ideal point approach in metric unfolding by optimizing the correlation. 8th Conference of the International Federation of Classification Societies (IFCS). Cracow, Poland. [lecture].
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (18 July 2002), Local minima in categorical multiple. IFCS'02: 8th Conference of the International Federation of Classification Societies. Cracow (Poland). [lecture].
  • Frank L.E. & Heiser W.J. (17 July 2002), Stability of feature network models for proximity data. 8th Conference of the International Federation of Classification Societies. Krakau (Polen). [lecture].
  • Deun K. van, Groenen P.J.F., Heiser W.J., Busing F.M.T.A. & Delbeke L. (16 July 2002), A Combined Vector-ideal Point Appoach in Metric Unfolding by Optimizing the Correlation. IFCS'02: 8th Conference of the International Federation of Classification Societies. Cracow ( Poland). [lecture].
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (16 July 2002), Local Minima in Categorical Multiple Regression (CATREG). IFCS Conference, 16 - 19 July 2002. Cracow, Poland. [lecture].
  • Frank L.E. & Heiser W.J. (2002), Stability of feature network models for proximity data. [other].
  • Rooij M.J. de & Heiser W.J. (2002), A distance representation of the quasi-symmetry model and related distance models. In: Okada H., Shigemasu A., Kano K., Meulman J.J., Yanai I. & Meulman Y. (Eds.), New developments in Psychometrics. Tokyo: Springer Verlag. 487-494.
  • Heiser W.J. (2002), Editorial, Journal of Classification 19: 193-194.
  • Heiser W.J. (Ed.) (2002), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2002), . Journal of Classification.
  • Frank L.E., Rooij M.J. de & Heiser W.J. (2002), Monte Carlo simulation in three-way unfolding: assesing the combined effect of sparseness and variation of the cell frequencies. In: Yanai H., Okada H., Shigemasu A., Kano K., Meulman Y. & Meulman J.J. (Eds.), New develpments in Psychometrics. Tokyo: Springer. 511-518.
  • De Gucht V.M.J., Fischler B. & Heiser W.J. (2002), Neuroticism, alexithymia, negative affect, and positive affect as determinants of medically unexplained symptoms, Abstract book of the 16th Conference of European Health Psychology Society, Lisbon, Portugal. 184-185.
  • Heiser W.J., Roman Y. & Gonzalez A. (2002), Proceeding of the Conference CompStat 2002- Short Communications and Posters. In: Klinke S., Ahrend P. & Richter L. (Eds.), MDS and Cluster analysis for big sets of dissimilarity data. Heidelberg: Heidelberg: Physika Verslag. 54-55.
  • Heiser W.J. (2002), Van bespiegeling naar empire: Statistiek in het hart van het methodologie onderwijs. Statistische Dag van de VVS. Utrecht (Annual Meeting of the Dutch Statistical. [lecture].
  • Heiser W.J., Busing F.M.T.A. & Groenen P.J.F. (26 September 2001), A Solution for the Degeneracy Problem in Unfolding. Keynote address. 32nd European Mathematical Psychology Group Meeting.. Lisbon, Portugal, 26-29 September, 2001. [lecture].
  • Heiser W.J., Busing F.M.T.A. & Groenen P.J.F. (6 August 2001), Nonmetric Unfolding by Penalizing for Lack of Variation in the Transformed Proximities. Invited paper presented at DIMACS Workshop on Algorithms for Multidimensional Scaling.. Piscataway, NJ, USA, 6-10 August, 2001. [lecture].
  • Heiser W.J. & Busing F.M.T.A. (6 August 2001), PROXSCAL: A General MDS Program For Two-way and Three-way Euclidean MDS With Restrictions on the Coordinates. Invited Paper presented at DIMACS Workshop on Algorithms for Multidimensional Scaling.. Piscataway, NJ, USA, 6-10 August, 2001. [lecture].
  • Heiser W.J. & Busing F.M.T.A. (6 August 2001), The IM Algorithm for Sparse MDS Data: Some Initial Experiences. Invited paper presented at DIMACS Workshop on Algorithms for Multidimensional Scaling.. Piscataway, NJ, USA, 6-10 August, 2001. [lecture].
  • Rooij M.J. de & Heiser W.J. (6 August 2001), Triadic Distance Models: Properties and Estimation. Invited paper presented at DIMACS Workshop on Algorithms for Multidimensional Scaling.. Piscataway, NJ, USA, 6-10 August, 2001. [lecture].
  • Rooij M.J. de & Heiser W.J. (2 August 2001), Distance Association Models for the Analysis of Association in Contingency Tables. Invited paper presented at the International Workshop on Matrices and Statistics.. Voorburg, The Netherlands, 2-3 August, 2001. [lecture].
  • Rooij M.J. de & Heiser W.J. (15 July 2001), A Distance Representation of the Quasi-symmetry Model and Special Cases. Invited paper presented at the International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Kloot W.A. van der, Bouwmeester S. & Heiser W.J. (15 July 2001), Cluster Instability As A Result of Order Permutations of Input Data. Paper presented at International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Heiser W.J. (15 July 2001), Early Statistical Modeling of Latent Quantities: The History of Distance Measurement by Triangulation. Keynote Address, International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Frank L.E., Rooij M.J. de & Heiser W.J. (15 July 2001), Monte Carlo Simulation in Three-way Unfolding: Assessing the Combined Effect of Sparseness and Variation in the Cell Frequencies. Paper presented at the International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Busing F.M.T.A., Groenen P.J.F. & Heiser W.J. (15 July 2001), Nonmetric Unfolding with Penalized Stress. Invited paper presented at International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Heiser W.J. (14 June 2001), Early Statistical Modeling of Latent Qualities: The History of Distance Measurement by Triangulation. Keynote Address, Meeting of the Classification Society of North America.. St. Louis, USA, 14-17 June, 2001. [lecture].
  • Heiser W.J. (2001), Correspondence Analysis. Smelser N.J. & Baltes P.B. (Eds.), International Encyclopedia of the Social & Behavioral Sciences.. . Oxford: Pergamon. 2820-2824.
  • Rooij M.J. de & Heiser W.J. (2001), Distance Association Models for the Analysis of Change. Invited paper presented at the International Meeting of the Psychometric Society.. Osaka, Japan, 15-19 July, 2001. [lecture].
  • Heiser W.J. (Ed.) (2001), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2001), . Journal of Classification.
  • Busing F.M.T.A., Groenen P.J.F. & Heiser W.J. (3 October 2000), Avoiding degeneracy in unfolding through the use of penalty function. Social Science Methodology in the New Millenium, Fifth International Conference on Logic and Methodology (International Sociological Association). Cologne, Germany. [lecture].
  • Heiser W.J. (3 October 2000), Early Roots of Statistical Modelling. Social Science Methodologyin the New Millenium, Fifth International Conference on Logic and Methodology (International Sociological Association). Cologne, Germany. [lecture].
  • Rooij M.J. de & Heiser W.J. (3 October 2000), Probabilistic Unfolding Models for the Analysis of Change. Social Science Methodology in the New Millenium, Fifth International Conference on Logic and Methodology (International Sociological Association). Cologne, Germany. [lecture].
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (12 July 2000), Local minima in categorical multiple regression. IFCS-2000, The 7th Conference of the International Federation of Classification Societies. Namur, Belgium. [lecture].
  • Busing F.M.T.A., Groenen P.J.F. & Heiser W.J. (11 July 2000), Avoiding degeneracy in unfolding through the use of a penalty function. IFCS-2000: The 7th Conference of the International Classification Society. Namur, Belgium. [lecture].
  • Steverink M.H.M., Heiser W.J. & Kloot W.A. van der (11 July 2000), Avoiding Degenerate Solutions Using Kemeny's Distance. IFCS'2000: Data Analysis, Classification and Related Methods, 7th Conference of the International Federation of Classification Societies.. Namur, Belgium. [lecture].
  • Heiser W.J. (11 July 2000), Measurement in the Low Countries. Millenium Talk, IFCS'2000: Data Analysis, Classification and Related Methods, 7th Conference of the International Federation of Classification Societies. Namur, Belgium. [lecture].
  • Busing F.M.T.A., Meulman J.J., Groenen P.J.F. & Heiser W.J. (11 July 2000), Unfolding without degeneracies through penalized stress. IFCS-2000: The 7th Conference of the International Federation of Classification Societies.. Namur, Belgium. [lecture].
  • Bensmail H., Meulman J.J. & Heiser W.J. (15 March 2000), MCMC Latent class distance models for analyzing single stimulus preference ratings. The 24th Annual Conference of the German Classification Society (GfKl). Passau, Germany. [lecture].
  • Rooij M.J. de & Heiser W.J. (2000), Graphical Representations and Odds Ratios in a Distance Association Model for the Analysis of Cross Classified Data. Leiden: Department of Psychology.
  • Heiser W.J. (Ed.) (2000), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (2000), . Journal of Classification.
  • Groenen P.J.F. & Heiser W.J. (2000), Iterative Majorization Algorithms in Statistical Computing. Discussion of: K. Lange, D.R. Hunter & I. Yang, Optimization transfer using surrogate objective functions, Journal of Computational and Graphical Statistics 9: 44-48.
  • Kolck M. van, Rooij M.J. de & Heiser W.J. (2000), Multidimensional scaling of loglinear parameters: The best transformation. Garnefski N. & Prins F. (Eds.), Coping with Psychology, Vol. I. . Leiden, The Netherlands: Department of Psychology. 117-136.
  • Rooij M.J. de & Heiser W.J. (2000), Three-way distance models and three-way association: a theoretical note. Leiden: Department of Psychology.
  • Rooij M.J. de & Heiser W.J. (2000), Triadic distance models for the analysis of asymmetric three-way proximity data, British Journal of Mathematical and Statistical Psychology 53: 99-119.
  • Hubert L.J., Meulman J.J. & Heiser W.J. (2000), Two purposes for matrix factorization: A historical appraisal, SIAM Review 42(1): 68-82.
  • Heiser W.J. (2000) What is Random?. Review of: Beltrami E. (2000), What is random? Chance and Order in Mathematics and Life. New York: Copernicus. Kwantitatieve Methoden 21: 144-145.
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (22 September 1999), Distance smoothing for global optimization in least squares multidimensional scaling. SWS/VVS, PIONEER Lectures. Utrecht (The Netherlands). [lecture].
  • Kooij A.J. van der, Meulman J.J. & Heiser W.J. (20 July 1999), Clustering of Row Profiles in Categorical Data Analysis. 11th European Meeting of the Psychometric Society. Lueneburg, Germany. [lecture].
  • Meulman J.J., Heiser W.J. & Hubert L.J. (20 July 1999), Three-way Correspondence Analysis Through Individual Differences Models. 11th European Meeting of the Psychometric Society. Lueneburg, Germany. [lecture].
  • Meulman J.J., Heiser W.J. & Hubert L.J. (20 July 1999), Three-Way Correspondence Analysis Through Individual Differences Models. The 11th European Meeting of the Psychometric Society. Lueneburg (Germany). [lecture].
  • Rooij M.J. de & Heiser W.J. (20 July 1999), Triadic Distance Models for the Analysis of Asymmetric Three-way Proximity Data. 11th European Meeting of the Psychometric Society. Lueneburg, Germany. [lecture].
  • Meulman J.J., Heiser W.J. & Hubert L.J. (25 June 1999), Three-way correspondence analysis through individual differences models. Annual Meeting of the Psychometric Society. Lawrence, Kansas (USA). [lecture].
  • Meulman J.J., Heiser W.J. & Hubert L.J. (25 June 1999), Three-way Correspondence Analysis Through Individual Differences Models. Annual Meeting of the Psychometric Society. Lawrence, Kansas. [lecture].
  • Meulman J.J., Heiser W.J. & Kroonenberg P.M. (19 January 1999), Applied multivariate data analysis. ISED graduate course, Faculty of Social Sciences, Leiden University. Leiden (The Netherlands). [lecture].
  • Meulman J.J. & Heiser W.J. (1999), Categories 10.0. Chicago (USA): SPSS Inc..
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (1999), Global Optimization in Least-squares Multidimensional Scaling by Distance Smoothing, Journal of Classification 16: 225-254.
  • Heiser W.J. (Ed.) (1999), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (1999), . JOURNAL OF CLASSIFICATION.
  • Heiser W.J. (Ed.) (1999), . Psychometrika.
  • Busing F.M.T.A., Heiser W.J., Neufeglise P. & Meulman J.J. (1999), PROXSCAL. Chicago (U.S.A.): SPSS Inc.. [other].
  • Heiser W.J. (13 November 1998), Van onzekerheid naar coïncidentie: De naturalisatie van het toeval in de 19e eeuw (From uncertainty to coincidence: The naturalization of chance in the 19th century). NOSMO-Methodologendag. Tilburg. [lecture].
  • Heiser W.J. (8 September 1998), Fitting feature graphs to proximity data. Keynote Address International Conference on Statistical Data Analysis and Data Collection. Preddvor, Slovenia. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (24 July 1998), Global optimization in least squares multidimensional scaling by distance smoothing. 6th Conference of the International Federation of Classification Societies. Rome, Italy. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (23 July 1998), Global optimization in least squares multidimensional scaling by distance smoothing. Paper presented at the 6th Conference of the International Federation of Classification Societies, contributed to Data Science, Classification and Related Methods (short papers pp. 138-141). Rome, Italy. [lecture].
  • Meulman J.J., Hubert L.J. & Heiser W.J. (22 July 1998), The Data Theory Scaling System. Paper presented at the 6th Conference of the International Federation of Classification Societies. Rome, Italy. [lecture].
  • Rooij M.J. de & Heiser W.J. (20 July 1998), The slide-vector model for asymmetry in three-way multidimensional scaling of longitudinal categorical data. Paper presented at the 6th Conference of the International Federation of Classification Societies, contributed to Data Science, Classification and Related Methods (short papers pp. 104-107). Rome, Italy. [lecture].
  • Heiser W.J. & Meulman J.J. (22 June 1998), A clustering method for a distribution of points on a Lattice. Paper presented at the 6th Conference of the International Federation of Classification Societies, contributed to Data Science, Classification and Related Methods (short papers pp. 154-157). Rome, Italy. [lecture].
  • Heiser W.J. (3 February 1998), Van toeval naar kans: De geschiedenis van het meten van onzekerheid (From chance to probability: The history of the Measurement of Uncertainty). Studium Generale. Groningen. [lecture].
  • Heiser W.J. (1998) Biplots. Review of: Gower J.C. (1998), Book review of J.C. Gower's and D.J. Hand's Biplots. London: Chapman & Hall. Journal of Classification 15: 143-148.
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (1998), City-block scaling: smoothing strategies for avoiding local minima. In: Balderjahn I., Mathar R. & Schader M. (Eds.), Classification, Data Analysis and Data Highways. Berlin: Springer-Verlag. 46-53.
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (1998), City-block scaling: Smoothing strategies for avoiding local minima. In: Balderjahn I., Mathar R. & Schader M. (Eds.), Classification, data analysis, and data highways. Berlin: Springer Verlag. 46-53.
  • Heiser W.J. (1998), Fitting graphs and trees with multidimensional scaling methods. In: Hayashi C., Ohsumi N., Yajima K., Tanaka Y., Bock H.-H. & Baba Y. (Eds.), Data science, classification, and related methods. Tokyo: Springer Verlag. 52-62.
  • Heiser W.J. (Ed.) (1998), . Psychometrika.
  • Heiser W.J. (Ed.) (1998), . Journal of Classification.
  • Heiser W.J. (Ed.) (1998), . Applied Psychological Measurement.
  • Kroonenberg P.M. & Heiser W.J. (1998), Parallel factor analysis with constraints on the configurations: An overview. In: Hayashi C., Ohsumi N., Yajima K., Tanaka Y., Bock H.-H. & Baba Y. (Eds.), Data science, classification, and related methods. Tokyo: Springer. 587-597.
  • Meulman J.J., Hubert L.J. & Heiser W.J. (1998), The Data Theory Scaling System. In: Rizzi A., Vichi M. & Bock H.-H. (Eds.), Advances in data science and classification. Berlin: Springer Verlag. 489-496.
  • Meulman J.J., Hubert L.J. & Heiser W.J. (1998), The Data Theory Scaling System. In: Rizzi A., Vichi M. & Bock H.H. (Eds.), Advances in Data Science and Classification. Berlin: Springer Verlag. 489-496.
  • Heiser W.J. (21 November 1997), Lezing 4. Vereniging voor Ordinatie en Classificatie. [lecture].
  • Heiser W.J. (4 September 1997), Lezing 3. European Mathematical Psychology Group. Nijmegen. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (16 August 1997), Iterative majorization in distance smoothing for multidimensional scaling to avoid local minima. 6th International workshop on matrix methods for statistics. Istanbul, Turkey. [lecture].
  • Heiser W.J. (14 August 1997), Lezing 2. 3rd International Conference on Statistical Data Analysis based on the L1-norm and Related Methods. Neuchatel, Zwitserland. [lecture].
  • Kooij A.J. van der & Heiser W.J. (16 July 1997), Hierarchical GROUPALS: A simultaneous optimization method for hierarchical clustering using a minimum variance criterion, under optimal scaling of the variables. 10th European Meeting of the Psychometric Society. Santiago de Compostela, Spain. [lecture].
  • Heiser W.J. (16 July 1997), Lezing 7. 10th European Meeting of the Psychometric Society. Santiago de Compostela, Spanje. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (16 July 1997), Solving the local minimum problem in multidimensional scaling by distance smoothing. 10th European Meeting of the Psychometric Society. Santiago de Compostela, Spain. [lecture].
  • Kroonenberg P.M. & Heiser W.J. (4 May 1997), Parallel factor analysis with constraints: Recent developments. TRICAP meeting on Three-way methods in chemistry and psychology. Lake Chelan, WA, USA. [lecture].
  • Kroonenberg P.M. & Heiser W.J. (4 May 1997), Parallel factor analysis with constraints: Recent developments. Three-way methods in chemistry and Psychology. TRICAP97. Lake Chelan, WA. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (12 March 1997), City-block scaling: Smoothing strategies for avoiding local minima. 21st Annual Meeting of the Gesellschaft für Klassifikation. Potsdam, Germany. [lecture].
  • Heiser W.J. & Meulman J.J. (21 February 1997), Lezing 1. 2nd World Conference of the International Association for Statistical Computing (IASC). Pasadena, California, USA. [lecture].
  • Heiser W.J. (16 February 1997), Lezing 5. International Sunbelt Social Network Conference. San Diego, CA, USA. [lecture].
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (1997), City-block scaling: Smoothing strategies for avoiding local minima. onbekend: SW Datatheorie.
  • Heiser W.J. & Groenen P.J.F. (1997), Cluster differences scaling with a within-cluster loss component and a fuzzy successive approximation strategy to avoid local minima, Psychometrika 62(11): 63-83.
  • Heiser W.J. & Groenen P.J.F. (1997), Cluster differences scaling with a within-cluster loss component and fuzzy successive approximation strategy to avoid local minima, Psychometrika 62: 63-83.
  • Groenen P.J.F., Heiser W.J. & Meulman J.J. (1997), Global optimization in least-squares multidimensional scaling by distance smoothing. onbekend: SW Datatheorie.
  • Meulman J.J. & Heiser W.J. (1997), Graphical display of interaction in multiway contingency tables by use of homogeneity analysis. In: Greenacre M. & Blasius J. (Eds.), Visual Display of Categorical Data.. New York: Academic Press. 277-296.
  • Heiser W.J. (Ed.) (1997), . Journal of Classification.
  • Heiser W.J. (Ed.) (1997), . Applied Psychological Measurement.
  • Heiser W.J. (Ed.) (1997), . Psychometrika.
  • Heiser W.J. & Meulman J.J. (1997), Nonlinear multivariate analysis: Overview and recent advances. In: Ato Garcia M. & Lopez Pina J.A. (Eds.), Actas del IV Congreso de Methodologia de las Ciencias del Comportamiento. Murcia, Spanje: Servicio de Publicaciones de la Universidad de Murcia. 15-32.
  • Heiser W.J. & Meulman J.J. (1997), Nonlinear Multivariate Analysis: Overview and recent advances. In: Ato Garcia M. & Lopez Pina J.A. (Eds.), IV Simposio de Metodologia de las Ciencias del Comportamiento. Murcia: Servicio de Publicaciones, Universidad. 15-32.
  • Kroonenberg P.M. & Heiser W.J. (1997), Parallel factor analysis with constraints: An overview. In: Hayashi C. & Ohsumi N. (Eds.), Data Science, Classification, and Related Methods. Tokyo: Springer. 587-597.
  • Busing F.M.T.A., Commandeur J.J.F. & Heiser W.J. (1997), PROXSCAL: A multidimensional scaling program for individual differences scaling with constraints. In: Bandilla W. & Faulbaum F. (Eds.), Softstat'97: Advances in Statistical Software, Vol 6. Stuttgart, Duitsland: Lucius & Lucius. 67-74.
  • Busing F.M.T.A., Commandeur J.J.F. & Heiser W.J. (1997), PROXSCAL: A multidimensional scaling program for individual differences scaling with constraints. In: Bandilla W. & Faulbaum F. (Eds.), Advances in Statistical Software 6. Stuttgart: Lucius & Lucius. 67-73.
  • Heiser W.J. & Meulman J.J. (1997), Representation of binary multivariate data by graph models using the Hamming metric. In: Wegman E. & Azen S. (Eds.), Computing Science and Statistics. Fairfax, VA, USA: Interface Foundation of North America. 517-525.
  • Heiser W.J. & Meulman J.J. (1997), Representation of binary multivariate data by graph models using the Hamming metric. In: Wegman E. & Azen S. (Eds.), Computing Science and Statistics. Fairfax, VA: Interface Foundation of North America Inc.. 517-525.
  • Heiser W.J. & Bennani M. (1997), Triadic distance models for triadic dissimilarity data, Estudios Gerenciales 41(18): 189-206.
  • Meulman J.J. & Heiser W.J. (1997), Visual display of interaction in multi-way contingency tables by use of homogeneity analysis: The 2 x 2 x 2 case. In: Greenacre M. & Blasius J. (Eds.), Visualization of Categorical Data. New York, USA: Academic Press. 277-296.
  • Tijssen R.J.W., Raan A.F.J. van, Heiser W.J. & Wachmann L. (1990), Integrating multiple sources of information in literature-based maps of science, Journal of Information Science 16(4): 217-227.

No relevant ancillary activities

This website uses cookies.  More information.