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A Goodness-of-Fit Test for Multinomial Logistic Regression

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  • Jelle J. Goeman
  • Saskia le Cessie

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Suggested Citation

  • Jelle J. Goeman & Saskia le Cessie, 2006. "A Goodness-of-Fit Test for Multinomial Logistic Regression," Biometrics, The International Biometric Society, vol. 62(4), pages 980-985, December.
  • Handle: RePEc:bla:biomet:v:62:y:2006:i:4:p:980-985
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00581.x
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    Cited by:

    1. Ram Kumar Singh & Vinay Shankar Prasad Sinha & Pawan Kumar Joshi & Manoj Kumar, 2021. "A multinomial logistic model-based land use and land cover classification for the South Asian Association for Regional Cooperation nations using Moderate Resolution Imaging Spectroradiometer product," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6106-6127, April.
    2. Christopher F. H. Nam & Sach Mukherjee & Marco Schilk & Joybrato Mukherjee, 2013. "Statistical analysis of varieties of English," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 777-793, June.
    3. Adhya Sumanta & Banerjee, Tathagata & Chattopadhyay, G., 2007. "Inference on Categorical Survey Response: A Predictive Approach," IIMA Working Papers WP2007-05-07, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Sumanta Adhya & Tathagata Banerjee & Gaurangadeb Chattopadhyay, 2012. "Inference on finite population categorical response: nonparametric regression-based predictive approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(1), pages 69-98, January.
    5. Faisal Maqbool Zahid & Gerhard Tutz, 2013. "Proportional Odds Models with High‐Dimensional Data Structure," International Statistical Review, International Statistical Institute, vol. 81(3), pages 388-406, December.

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