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Modeling a Categorical Variable Allowing Arbitrarily Many Category Choices

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  • Alan Agresti
  • I-Ming Liu

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Suggested Citation

  • Alan Agresti & I-Ming Liu, 1999. "Modeling a Categorical Variable Allowing Arbitrarily Many Category Choices," Biometrics, The International Biometric Society, vol. 55(3), pages 936-943, September.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:3:p:936-943
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00936.x
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    References listed on IDEAS

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    1. Haber, Michael, 1985. "Maximum likelihood methods for linear and log-linear models in categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 3(1), pages 1-10, May.
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    Cited by:

    1. Pelenur, Marcos J. & Cruickshank, Heather J., 2012. "Closing the Energy Efficiency Gap: A study linking demographics with barriers to adopting energy efficiency measures in the home," Energy, Elsevier, vol. 47(1), pages 348-357.
    2. Alan Agresti & Ivy Liu, 2001. "Strategies for Modeling a Categorical Variable Allowing Multiple Category Choices," Sociological Methods & Research, , vol. 29(4), pages 403-434, May.
    3. Suesse, Thomas & Liu, Ivy, 2012. "Mantel–Haenszel estimators of odds ratios for stratified dependent binomial data," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2705-2717.
    4. Nettleton, Dan & Banerjee, T., 2001. "Testing the equality of distributions of random vectors with categorical components," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 195-208, August.

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