Offers an overview of analysis strategies for regression models in which variables are measured with errors. This book includes material on Bayesian methods and semiparametric regression and a chapter on generalized linear mixed models.
A review of the major statistical techniques which can be used to analyze regression data with nonconstant variability and skewness. The authors have developed techniques to deal with these types of problems, the complications of which can be observed in diverse fields. Annotation copyright Book New
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