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Journal of the American Statistical Association Volume 73, 1978 - Issue 362
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On the Performance of Some Multinomial Classification Rules

William R. Dillon Department of Marketing, School of Business Administration, University of Massachusetts, Amherst, MA, 01003, USA
&
Matthew Goldstein Department of Statistics, Baruch College, The City University of New York, 17 Lexington Avenue, New York, NY, 10010, USA
Pages 305-313 | Received 01 Apr 1976, Published online: 05 Apr 2012

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Shannon Zavorka & JamisJ. Perrett. (2014) Minimum Sample Size Considerations for Two-Group Linear and Quadratic Discriminant Analysis with Rare Populations. Communications in Statistics - Simulation and Computation 43:7, pages 1726-1739.
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Saïd Tabti, Nour‐Eddin El Faouzi, Remy Fondacci & Gerard Thomas. (1999) Linear statistical decision models for air traffic flow simulation: a comparative study. Transportation Planning and Technology 22:3, pages 181-199.
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M.C. Wang. (1986) A prior-valued estimator applied to multinomial classification. Communications in Statistics - Theory and Methods 15:2, pages 405-427.
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WilliamJ. Butler & RichardA. Kronmal. (1985) Discrimination with Polychotomous Predictor Variables Using Orthogonal Functions. Journal of the American Statistical Association 80:390, pages 443-448.
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Hiroko Nakanishi & Yoshiharu Sato. (1985) The performance of the linear and quadratic discriminant functions for three types of non-normal distribution. Communications in Statistics - Theory and Methods 14:5, pages 1181-1200.
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Riccardo Natoli. (2018) Factors contributing to financial literacy levels among a migrant group. International Journal of Social Economics 45:5, pages 730-745.
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Richard A. Reyment. (2010) A Discrete Classification Procedure Applied to Encrusted Ammonite Conches—A Contribution to Taphonometrics. Mathematical Geosciences 42:4, pages 447-452.
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Sugnet Gardner & Niël le Roux. 2003. Between Data Science and Applied Data Analysis. Between Data Science and Applied Data Analysis 30 38 .
J. Hoh, S. Jin, T. Parrado, J. Edington, A. J. Levine & J. Ott. (2002) The p53MH algorithm and its application in detecting p53-responsive genes. Proceedings of the National Academy of Sciences 99:13, pages 8467-8472.
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Raymond J. Dezzani. (2010) Classification Analysis of World Economic Regions. Geographical Analysis 33:4, pages 330-352.
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Hiroko Nakanishi. (1996) DISTANCE BETWEEN POPULATIONS IN A MIXTURE OF CATEGORICAL AND CONTINUOUS VARIABLES. JOURNAL OF THE JAPAN STATISTICAL SOCIETY 26:2, pages 221-230.
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Amarjit S. Bhatia & Bishwa N. Mukherjee. (1993) Comparison of Some Multinomial Classification Rules: A Case Study. Behaviormetrika 20:1, pages 91-106.
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W. J. Krzanowski. (1993) The location model for mixtures of categorical and continuous variables. Journal of Classification 10:1, pages 25-49.
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Gilles Celeux & Abdallah Mkhadri. (1992) Discrete regularized discriminant analysis. Statistics and Computing 2:3, pages 143-151.
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Erich A. Joachimsthaler & Antonie Stam. (2007) FOUR APPROACHES TO THE CLASSIFICATION PROBLEM IN DISCRIMINANT ANALYSIS: AN EXPERIMENTAL STUDY*. Decision Sciences 19:2, pages 322-333.
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W. J. Krzanowski. (1987) A comparison between two distance-based discriminant principles. Journal of Classification 4:1, pages 73-84.
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G. A. F. Seber. 1984. Multivariate Observations. Multivariate Observations 626 670 .
Rand R. Wilcox. (1983) An approximation of theK outN reliability of a test, and a scoring procedure for determining which items an examinee knows. Psychometrika 48:2, pages 211-222.
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H. J. Trampisch. (2019) On the Performance of Some Classification Rules for Qualitative Data for Simulated Underlying Distributions. Biometrical Journal 25:7, pages 689-698.
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William R. DillonStuart Westin. (2018) Scoring Frequency Data for Discriminant Analysis: Perhaps Discrete Procedures can be Avoided. Journal of Marketing Research 19:1, pages 44-56.
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Minoru Siotani. 1982. Classification Pattern Recognition and Reduction of Dimensionality. Classification Pattern Recognition and Reduction of Dimensionality 61 100 .
William R. DillonMatthew GoldsteinLucy Lement. (2018) Analyzing Qualitative Predictors with Too Few Data: An Alternative Approach to Handling Sparse-Cell Values. Journal of Marketing Research 18:1, pages 63-72.
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Gerhard Tutz. 1981. Nachsorge und Krankheitsverlaufsanalyse. Nachsorge und Krankheitsverlaufsanalyse 183 194 .
Rand R. Wilcox. (2016) An Empirical Comparison of Four Discrete Discriminate Analysis Procedures. Educational and Psychological Measurement 40:4, pages 981-986.
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Michael Finnegan & Stephen A. McGuire. (2005) Classification systems for discrete variables used in forensic anthropology. American Journal of Physical Anthropology 51:4, pages 547-553.
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William R. Dillon. (2018) The Performance of the Linear Discriminant Function in Nonoptimal Situations and the Estimation of Classification Error Rates: A Review of Recent Findings. Journal of Marketing Research 16:3, pages 370-381.
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