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Quasi‐likelihood inference in a generalized linear mixed model for balanced data

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  • J. Engel

Abstract

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.

Suggested Citation

  • J. Engel, 1990. "Quasi‐likelihood inference in a generalized linear mixed model for balanced data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 44(4), pages 221-239, December.
    • Handle: RePEc:bla:stanee:v:44:y:1990:i:4:p:221-239
    DOI: 10.1111/j.1467-9574.1990.tb01283.x
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