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Mixed Models for Binomial Data with an Application to Lamb Mortality

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  • S. Im
  • D. Gianola

Abstract

The simplex method, a derivative‐free function maximisation algorithm, is used as an alternative to the EM algorithm in computing maximum likelihood estimates in mixed probit and logit models with binomial data. The models are used to estimate heritability and to predict sire effects when analysing a lamb mortality data set.

Suggested Citation

  • S. Im & D. Gianola, 1988. "Mixed Models for Binomial Data with an Application to Lamb Mortality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(2), pages 196-204, June.
    • Handle: RePEc:bla:jorssc:v:37:y:1988:i:2:p:196-204
    DOI: 10.2307/2347339
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    Cited by:

    1. Tutz, Gerhard & Hennevogl, Wolfgang, 1996. "Random effects in ordinal regression models," Computational Statistics & Data Analysis, Elsevier, vol. 22(5), pages 537-557, September.

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