The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques...the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression.
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15402117
Applied Linear Regression 4th Edition
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Item #:
15402117
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The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques...the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression.
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Product Details
- Thorough update of basic theory and methodology of linear regression modeling
- Practical applications demonstrated through real-world exercises and examples
- Stresses central concepts like model building, parameter understanding, fit assessment, and drawing conclusions
- Coverage of parameter estimates, transformations, and regression diagnostics
- Includes newly added material on testing, ANOVA, and variance assumptions
- Suitable for students and practitioners in engineering, business, economics, and the social sciences
| Publisher | Wiley; 4th edition (December 23, 2013) |
| Language | English |
| Hardcover | 368 pages |
| ISBN-10 | 9781118386088 |
| ISBN-13 | 978-1118386088 |
| Item Weight | 2.31 pounds (1.04 kg) |
| Dimensions | 6.3 x 0.9 x 9.3 inches (16 x 2.3 x 23.6 cm) |
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Applied Linear Regression 4th Edition
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Features & Benefits
- Provides updated information on the theory and methodology of linear regression modeling
- Includes real-world exercises and examples
- Illustrates how to develop estimation, confidence, and testing procedures using the least squares regression
- Covers graphical methods, parameter estimates, transformations, and regression diagnostics
- Ideal for upper-undergraduate and graduate-level students, as well as practitioners and applied statisticians in various fields
- Accessible and comprehensive guide to applied linear regression
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