2026-06-01T01:25:02Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/177132023-08-26T06:06:49Zcom_20.500.14352_14col_20.500.14352_15

New improved estimators for overdispersion in models with clustered multinomial data and unequal cluster sizes Alonso-Revenga, J. Martin, N. Pardo Llorente, Leandro 519.8 Clustered multinomial data Consistent intracluster correlation estimator Log-linear model Overdispersion Quasi minimum divergence estimator Investigación operativa (Matemáticas) 1207 Investigación Operativa 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. Ministerio de Economía y Competitividad (MINECO) Depto. de Estadística e Investigación Operativa Fac. de Ciencias Matemáticas TRUE pub 2023-06-17T21:52:55Z 2023-06-17T21:52:55Z 2017 journal article https://hdl.handle.net/20.500.14352/17713 0960-3174 10.1007/s11222-015-9616-z eng MTM2012-33740 restricted access application/pdf application/pdf Springer