RT Journal Article
T1 New improved estimators for overdispersion in models withclustered multinomial data and unequal cluster sizes
A1 Alonso-Revenga, J.
A1 Martin, N.
A1 Pardo Llorente, Leandro
AB 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.
PB Springer
SN 0960-3174
YR 2017
FD 2017
LK https://hdl.handle.net/20.500.14352/17713
UL https://hdl.handle.net/20.500.14352/17713
LA eng
NO Ministerio de Economía y Competitividad (MINECO)
DS Docta Complutense
RD 20 abr 2025