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The location model for mixtures of categorical and continuous variables

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  • W. Krzanowski

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  • W. Krzanowski, 1993. "The location model for mixtures of categorical and continuous variables," Journal of Classification, Springer;The Classification Society, vol. 10(1), pages 25-49, January.
    • Handle: RePEc:spr:jclass:v:10:y:1993:i:1:p:25-49
    DOI: 10.1007/BF02638452
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    References listed on IDEAS

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    1. D. R. Cox, 1972. "The Analysis of Multivariate Binary Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(2), pages 113-120, June.
    2. N. Balakrishnan & M. Tiku, 1988. "Robust classification procedures based on dichotomous and continuous variables," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 53-80, March.
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    Cited by:

    1. Bittmann, Thomas & Loy, Jens-Peter & Anders, Sven, 2020. "Product differentiation and cost pass-through: industry-wide versus firm-specific cost shocks," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(04), January.
    2. Sudha Bishnoi & Nadhir Al-Ansari & Mujahid Khan & Salim Heddam & Anurag Malik, 2022. "Classification of Cotton Genotypes with Mixed Continuous and Categorical Variables: Application of Machine Learning Models," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    3. A. R. de Leon & A. Soo & T. Williamson, 2011. "Classification with discrete and continuous variables via general mixed-data models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(5), pages 1021-1032, February.
    4. Colin O. Wu & Gang Zheng & Minjung Kwak, 2013. "A Joint Regression Analysis for Genetic Association Studies with Outcome Stratified Samples," Biometrics, The International Biometric Society, vol. 69(2), pages 417-426, June.
    5. Pan Shenyi & Joe Harry, 2024. "Assessing copula models for mixed continuous-ordinal variables," Dependence Modeling, De Gruyter, vol. 12(1), pages 1-18.
    6. Merbouha, A. & Mkhadri, A., 2004. "Regularization of the location model in discrimination with mixed discrete and continuous variables," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 563-576, April.
    7. Leung, Chi-Ying, 2003. "The effect of across-location heteroscedasticity on the classification of mixed categorical and continuous data," Journal of Multivariate Analysis, Elsevier, vol. 84(2), pages 369-386, February.
    8. Layal Christine Lettry, 2023. "Clustering the Swiss Pension Register," FSES Working Papers 529, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Leung, Chi-Ying, 2005. "Regularized classification for mixed continuous and categorical variables under across-location heteroscedasticity," Journal of Multivariate Analysis, Elsevier, vol. 93(2), pages 358-374, April.
    10. Nor Mahat & W.J. Krzanowski & A. Hernandez, 2009. "Strategies for Non-Parametric Smoothing of the Location Model in Mixed-Variable Discriminant Analysis," Modern Applied Science, Canadian Center of Science and Education, vol. 3(1), pages 151-151, January.
    11. Chi-Ying Leung, 2001. "Error rates in classification consisting of discrete and continuous variables in the presence of covariates," Statistical Papers, Springer, vol. 42(2), pages 265-273, April.

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