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Pairwise likelihood estimation for the normal ogive model with binary data

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  • M.-L. Feddag

    (Université de Nantes)

Abstract

A marginal pairwise likelihood estimation approach is examined in the normal ogive model with binary response. This method, belonging to the broad class of composite likelihood, provides estimators with desirable asymptotic properties such as consistency and asymptotic normality. We study the performance of the proposed methodology by a simulation and we compare it with marginal maximum likelihood. The different results are also illustrated with an analysis of a real data set from a quality of life study.

Suggested Citation

  • M.-L. Feddag, 2016. "Pairwise likelihood estimation for the normal ogive model with binary data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(2), pages 223-237, April.
    • Handle: RePEc:spr:alstar:v:100:y:2016:i:2:d:10.1007_s10182-015-0263-7
    DOI: 10.1007/s10182-015-0263-7
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    References listed on IDEAS

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