Regression analysis by example
By: Chatterjee, Samprit
Contributor(s): Hadi, Ali S
Material type: 
TextSeries: Wiley Series in Probability and StatisticsPublisher: New Jersey New Delhi 2014Edition: 5th edDescription: xv, 393 p.ISBN: 9788126545667Subject(s): Regression analysisDDC classification: 519.536 Summary: 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:
| Item type | Current location | Collection | Call number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| Books | Vikram Sarabhai Library General Stacks | Non-fiction | 519.536 C4R3-2014 (Browse shelf) | Available | PM | 181403 |
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| 519.53502855133 S2U8 Using R with multivariate statistics | 519.536 A7 Applied quantitative analysis in education and the social sciences | 519.536 A7R3 Regression analysis: a practical introduction | 519.536 C4R3-2014 Regression analysis by example | 519.536 G3R3 Regression and other stories | 519.536 H2 Handbook of quantile regression | 519.536 J8D2 Data analysis: a model comparison approach to regression, ANOVA, and beyond |
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:
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