Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
Описание: Edward Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately.
Автор: Edward E. Gbur, Walter W. Stroup, Kevin S. McCarter, Susan Durham, Linda J. Young, Mary Christman, Mark West, Matthew Kramer Название: Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences ISBN: 0891181822 ISBN-13(EAN): 9780891181828 Издательство: Wiley Рейтинг: Цена: 9338.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences provides readers with an understanding and appreciation for the design and analysis of mixed models for non-normally distributed data. It is the only publication of its kind directed specifically toward the agricultural and natural resources sciences audience. Readers will especially benefit from the numerous worked examples based on actual experimental data and the discussion of pitfalls associated with incorrect analyses.
Автор: Hocking Ronald R Название: Methods and Applications of Linear Models ISBN: 1118329503 ISBN-13(EAN): 9781118329504 Издательство: Wiley Рейтинг: Цена: 20109.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for the Second Edition "An essential desktop reference book... it should definitely be on your bookshelf.
Автор: Hoffmann John P. Название: Linear Regression Models: Applications in R ISBN: 0367753669 ISBN-13(EAN): 9780367753665 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.
Описание: This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.
Автор: Mcculloch, Charles E. Searle, Shayle R. Neuhaus, J Название: Generalized, linear, and mixed models ISBN: 0470073713 ISBN-13(EAN): 9780470073711 Издательство: Wiley Рейтинг: Цена: 25178.00 р. Наличие на складе: Поставка под заказ.
Описание: - This new edition presents a unified, accessible, and self-contained treatment of the latest statistical methods for analyzing correlated, non-normally distributed data. - The book`s unified treatment addresses the needs of applications-oriented users of statistical packages and also graduate students in statistics.
Автор: Hoffmann John P. Название: Linear Regression Models: Applications in R ISBN: 0367753685 ISBN-13(EAN): 9780367753689 Издательство: Taylor&Francis Рейтинг: Цена: 28327.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.
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