Pairwise likelihood estimation for the normal ogive model with binary data

M.-L. Feddag ()
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M.-L. Feddag: Université de Nantes

AStA Advances in Statistical Analysis, 2016, vol. 100, issue 2, No 5, 223-237

Abstract: 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.

Keywords: Binary data; Composite likelihood; Fixed effects; Marginal pairwise likelihood; Marginal maximum likelihood; Normal ogive model; Probit model; Quality of life; Random effects; Variance component (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s10182-015-0263-7

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