Generalized Linear Models, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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P. McCullagh 作者

Chapman and Hall/CRC

译者

1989-8-1 出版日期

532 页数

USD 113.95 价格

Hardcover

丛书系列

9780412317606 图书编码

Generalized Linear Models, Second Edition 在线电子书图书标签: Statistics 统计统计学数学社会学/人类学新水人口学/统计学 statistics

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Generalized Linear Models, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Generalized Linear Models, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Peter的书写的不错，就是课实在难懂。经典教材了，已经成为北美教材典范。

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written by boss'boss. the best of this topic in the world

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written by boss'boss. the best of this topic in the world

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written by boss'boss. the best of this topic in the world

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Generalized Linear Models, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Generalized Linear Models, Second Edition 在线电子书图书描述

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.

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Generalized Linear Models, Second Edition 在线电子书读后感

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GLM: linear regression/ANOVA models; logit/probit models for quantal response; log-linear models/multinomial response models for counts; models for survival data…properties: linearity; there’s common method for computing parameter estimates...

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