| 书目名称 | Vector Generalized Linear and Additive Models |
| 副标题 | With an Implementati |
| 编辑 | Thomas W. Yee |
| 视频video | |
| 概述 | First comprehensive book on Vector Generalized Linear Models.Builds on success of VGAM R package, which is used to show applications of the methodology.Techniques on regression and parametric and non- |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | .This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole..Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs..The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or catego |
| 出版日期 | Textbook 2015 |
| 关键词 | Additive Model Theory; Generalized Linear Models; Linear Models; Model Application with R; Regression Mo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4939-2818-7 |
| isbn_softcover | 978-1-4939-4198-8 |
| isbn_ebook | 978-1-4939-2818-7Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Thomas Yee 2015 |
发表于 2025-3-21 19:09:15
