Publication: New improved estimators for overdispersion in models with
clustered multinomial data and unequal cluster sizes
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Publication Date
2017
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Springer
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Abstract
It is usual to rely on the quasi-likelihood methods for deriving statistical methods applied to clustered multinomial data with no underlying distribution. Even though extensive literature can be encountered for these kind of data sets, there are few investigations to deal with unequal cluster sizes. This paper aims to contribute to fill this gap by proposing new estimators for the intracluster correlation coefficient.