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Quasi‐likelihood inference in a generalized linear mixed model for balanced data
Author(s) -
Engel J.
Publication year - 1990
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1990.tb01283.x
Subject(s) - mathematics , generalized linear model , generalized linear mixed model , variance (accounting) , quadratic equation , stratification (seeds) , inference , mixed model , generalized linear array model , variance components , set (abstract data type) , hierarchical generalized linear model , statistics , computer science , artificial intelligence , germination , dormancy , seed dormancy , botany , geometry , accounting , business , biology , programming language
For modelling the effect of crossed, fixed factors on the response variable in balanced designs with nested stratifications, a generalized linear mixed model is proposed. This model is based on a set of quasi‐likelihood assumptions which imply quadratic variance functions. From these variance functions, deviances are obtained to quantify the variation per stratification. The effects of the fixed factors will be tested, an dispersion components will be estimated. The practical use of the model is illustrated by reanalysing a soldering failures problem.