Full Product Details
Author: Thomas W. Yee
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: Softcover reprint of the original 1st ed. 2015
Weight: 1.573kg
ISBN: 9781493941988
ISBN 10: 1493941984
Pages: 589
Publication Date: 29 October 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
“This book, a much larger and more flexible statistical framework is presented that has greatly expanded generalized linear models for regression modeling, which centers on vector generalized linear models (VGLMs), vector generalized additive models (VGAMs), and their variants with implementation in R. … book can serve as a textbook for senior undergraduate or first-year postgraduate courses on generalized linear models or categorical data analysis. This book is also an excellent resource for statisticians, applied statisticians, natural scientists and social scientists.” (Yuehua Wu, zbMATH 1380.62006, 2018) “The book unifies seemingly unrelated areas such as univariate distributions, categorical data analysis, quantileregression, and extremes. The underlying idea is to treat almost all distributions and classical models as generalized regression models. … The book may be used in senior undergraduate and first-year graduate courses on GLMs and regression modeling. It may serve as a methodology resource for users of VGAMs.” (Alexander G. Kukush, Mathematical Reviews, May, 2016)
This book, a much larger and more flexible statistical framework is presented that has greatly expanded generalized linear models for regression modeling, which centers on vector generalized linear models (VGLMs), vector generalized additive models (VGAMs), and their variants with implementation in R. ... book can serve as a textbook for senior undergraduate or first-year postgraduate courses on generalized linear models or categorical data analysis. This book is also an excellent resource for statisticians, applied statisticians, natural scientists and social scientists. (Yuehua Wu, zbMATH 1380.62006, 2018) The book unifies seemingly unrelated areas such as univariate distributions, categorical data analysis, quantile regression, and extremes. The underlying idea is to treat almost all distributions and classical models as generalized regression models. ... The book may be used in senior undergraduate and first-year graduate courses on GLMs and regression modeling. It may serve as a methodology resource for users of VGAMs. (Alexander G. Kukush, Mathematical Reviews, May, 2016)
The book unifies seemingly unrelated areas such as univariate distributions, categorical data analysis, quantile regression, and extremes. The underlying idea is to treat almost all distributions and classical models as generalized regression models. ... The book may be used in senior undergraduate and first-year graduate courses on GLMs and regression modeling. It may serve as a methodology resource for users of VGAMs. (Alexander G. Kukush, Mathematical Reviews, May, 2016)
Author Information
Thomas W. Yee is a Senior Lecturer in the Department of Statistics at University of Auckland, New Zealand. The author of over 30 articles published in statistical and other scientific journals, his work usually has a methodological focus and has direct applications in the fields of biostatistics and ecology. He is author of the VGAM R package, one of the largest by a single author. Dr Yee received his PhD in statistics from the University of Auckland.
