Regression analysis by example
著者
書誌事項
Regression analysis by example
(Wiley series in probability and mathematical statistics, . Text and references section)
J. Wiley, c2000
3rd ed
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注記
"A Wiley-Interscience publication."
Includes bibliographical references (p. 347-353) and index
内容説明・目次
内容説明
Regression analysis provides 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, Third Edition explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory. This is not just another edition of the book; it is a major rewriting and reorganization of the previous edition. The new edition is expanded and updated to reflect recent advances in the field, offering in-depth treatment of diagnostic plots, time series regression, multicollinearity, and logistic regression. Suitable for anyone with an understanding of elementary statistics, Regression Analysis by Example, Third Edition illustrates methods of regression analysis, with examples containing the types of irregularities commonly encountered in the real world. 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.
Each of the methods described can be carried out with most currently available statistical software packages.
目次
- Simple Linear Regression
- Multiple Linear Regression
- Regression Diagnostics: Detection of Model Violations
- Qualitative Variables as Predictors
- Transformation of Variables
- Weighted Least Squares
- The Problem of Correlated Errors
- Analysis of Collinear Data
- Biased Estimation of Regression Coefficients
- Variable Selection Procedures
- Logistic Regression
- Appendix
- References
- Index.
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