Regression Analysis by Example

出版者:Wiley-Interscience

作者:Samprit Chatterjee

页数:408

出版时间:2006-7

价格:USD 152.00

装帧:Hardcover

isbn号码:9780471746966

图书标签:统计学回归分析统计statisticsregression教材统计学与机器学习统计专业课程

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The essentials of regression analysis through practical applications

Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.

This new edition features the following enhancements:

Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis

A new chapter entitled Further Topics discusses advanced areas of regression analysis

Reorganized, expanded, and upgraded exercises appear at the end of each chapter

A fully integrated Web page provides data sets

Numerous graphical displays highlight the significance of visual appeal

Regression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

读后感

国内很多数据分析相关的书籍脱离实际，着重于论述理想状态下，符合假设的情况的分析方法。对实际中大量不满足假设的情景，帮助有限，实用性不足。这本书是我见过的难得的好书之一，它细致描述了理想状态下做了什么假设，假设不满足的情况下又应如何处理。即讲清楚理论的合理性...

国内很多数据分析相关的书籍脱离实际，着重于论述理想状态下，符合假设的情况的分析方法。对实际中大量不满足假设的情景，帮助有限，实用性不足。这本书是我见过的难得的好书之一，它细致描述了理想状态下做了什么假设，假设不满足的情况下又应如何处理。即讲清楚理论的合理性...

国内很多数据分析相关的书籍脱离实际，着重于论述理想状态下，符合假设的情况的分析方法。对实际中大量不满足假设的情景，帮助有限，实用性不足。这本书是我见过的难得的好书之一，它细致描述了理想状态下做了什么假设，假设不满足的情况下又应如何处理。即讲清楚理论的合理性...

国内很多数据分析相关的书籍脱离实际，着重于论述理想状态下，符合假设的情况的分析方法。对实际中大量不满足假设的情景，帮助有限，实用性不足。这本书是我见过的难得的好书之一，它细致描述了理想状态下做了什么假设，假设不满足的情况下又应如何处理。即讲清楚理论的合理性...

国内很多数据分析相关的书籍脱离实际，着重于论述理想状态下，符合假设的情况的分析方法。对实际中大量不满足假设的情景，帮助有限，实用性不足。这本书是我见过的难得的好书之一，它细致描述了理想状态下做了什么假设，假设不满足的情况下又应如何处理。即讲清楚理论的合理性...

用户评价

非常好的一本书，对于回归分析的概念和基本知识介绍的很通俗易懂，也很全面，让人感觉读统计学书籍像读小说一样，多看几本这样的书会越来越喜欢上statistics，要是在学校时能早点发现，多读些这样的书就好了。

很好读，不枯燥，例子好多，真的很好，五星力荐

深入浅出

读了好久啊。。。觉得必要时，会重新读。。。

讲得深入又不难懂，非常适合社科学生。