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
发表于2024-12-25
Generalized Linear Models, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
written by boss'boss. the best of this topic in the world
评分written by boss'boss. the best of this topic in the world
评分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。
评分Text Book
评分Text Book
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.
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...
评分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...
评分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...
评分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...
评分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...
Generalized Linear Models, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024