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This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression models. The differential geometric framework is presented for these models and geometric methods are …
Offers a survey of measurement error models. This work features a discussion and applications of Bayesian computation via Markov Chain Monte Carlo techniques; a chapter on longitudinal data and mixed models; a chapter on nonparametric regression and density estimation; a chapter…