Generalized linear models for the analysis of quality‐improvement experiments
- 1 March 1998
- journal article
- Published by Wiley in The Canadian Journal of Statistics / La Revue Canadienne de Statistique
- Vol. 26 (1) , 95-105
- https://doi.org/10.2307/3315676
Abstract
Generalized linear models provide a useful tool for analyzing data from quality‐improvement experiments. We discuss why analysis must be done for all the data, not just for summarizing quantities, and show by examples how residuals can be used for model checking. A restricted‐maximum‐likelihood‐type adjustment for the dispersion analysis is developed.Keywords
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