Abstract
An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and highlights their similarities and differences in various construction, application, and computational aspects.A clear introduction to the basic ideas of fixed effects models, random effects models, and mixed m
Keywords
Random effects modelMathematicsStatisticsGeneralized linear mixed modelLinear modelNormalityFixed effects modelEstimatorAsymptotic distributionLogistic regressionMixed modelLinear regressionEconometricsPanel data
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Publication Info
- Year
- 2000
- Type
- book
- Citations
- 2368
- Access
- Closed
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Cite This
Charles E. McCulloch,
S. R. Searle
(2000).
Generalized, Linear, and Mixed Models.
Wiley series in probability and statistics
.
https://doi.org/10.1002/0471722073
Identifiers
- DOI
- 10.1002/0471722073