Regression Analysis by Example

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出版者:Wiley
作者:Samprit Chatterjee
出品人:
页数:424
译者:
出版时间:2012-9-11
价格:USD 133.00
装帧:Hardcover
isbn号码:9780470905845
丛书系列:
图书标签:
  • 统计学 
  • 教材 
  • statistics 
  • Statistics 
  • 计量 
  • 机器学习 
  • 建模 
  • 外国技术 
  •  
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Praise for the Fourth Edition: "This book is ...an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." --Journal of the American Statistical Association 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 judgment. Regression Analysis by Example, Fifth 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. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments 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, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.

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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...

评分

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...

评分

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...

评分

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...

评分

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

评分

又是教材~STAT 333 textbook. not easy to understand even with plenty of examples.

评分

又是教材~STAT 333 textbook. not easy to understand even with plenty of examples.

评分

又是教材~STAT 333 textbook. not easy to understand even with plenty of examples.

评分

又是教材~STAT 333 textbook. not easy to understand even with plenty of examples.

评分

又是教材~STAT 333 textbook. not easy to understand even with plenty of examples.

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