Linear and Nonlinear Models for the Analysis of Repeated Measurements (Statistics: A Series of Textbooks and Monographs)

Integrating the latest theory, methodology, and applications related to the design and analysis of repeated measurements, this practical reference/text covers a broad range of topics, including the analysis of repeated measures designs, general crossover designs, and linear and nonlinear regression models. Review: "This practical, user-friendly reference/text integrates the latest theory, methodology, and applications related to the design and analysis of repeated measurements - covering a broad range of topics including the analysis of repeated measures designs, general crossover designs, and linear and nonlinear regression models."--BOOK JACKET. "Focusing on longitudinal studies and experimental situations where units are randomized to treatment groups, Linear and Nonlinear Models for the Analysis of Repeated Measurements presents the generalized multivariate analysis of variance, the random coefficient growth curve, and the linear mixed effects models ... a nonlinear version of the generalized multivariate analysis of variance model ... a Gaussian-based nonlinear mixed effects model ... a generalized non-linear mixed effects model ... generalized estimating equations for various estimating techniques ... and more."--BOOK JACKET. "With key literature citations, worked-out examples, and over 1300 display equations, Linear and Nonlinear Models for the Analysis of Repeated Measurements is an ideal reference for experimental designers; regression analysts; applied, theoretical, mathematical, and survey statisticians; biostatisticians; biometricians; biomedical research scientists; probabilists; mathematicians; quality and reliability, quality control, and industrial engineers; as well as an excellent text for graduate-level students taking courses in a longitudinal data analysis, analysis of repeated measurements, or multivariate analysis."--BOOK JACKET

Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.

Statistical Papers

...an easily accessible text for students with preliminary knowledge of matrix algebra and estimation concepts...helps less experienced and less theoretically trained people to access the richness of this text...recommend[ed].

Integrates the theory, methodology and applications related to the design and analysis of repeated measurement. This text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models.