Applied Linear Regression 4th Edition
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Applied Linear Regression 4th Edition
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.
Applied Linear Regression 4th Edition
Elementas #: 15402117

Applied Linear Regression 4th Edition

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Elementas #: 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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Shop for Applied Linear Regression 4th Edition at Ubuy Lithuania. Find the best deals on linear regression books and enhance your statistical analysis skills.
  • 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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Savybės ir privalumai

  • 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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