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· 2013· Book chapter

Linear Regression Analysis

Seber, George A F, Lee, Alan J

Short summary

This book provides a comprehensive treatment of linear regression analysis, expanding coverage of diagnostics and model fitting methods.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Comprehensive treatment of linear regression analysis.
  • Expanded coverage of diagnostics and model fitting methods.
  • Requires knowledge of matrix algebra and basic regression.
  • Includes over 200 problems with outline solutions.
  • Extensively class-tested revision.

AI-generated from the title and abstract; the full text is not read.

Abstract

Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.* More than 200 problems throughout the book plus outline solutions for the exercises.* This revision has been extensively class-tested.

The authors' abstract, as published at the source., 2013 · DOI ↗

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Field: Statistics and Probability

Statistics and ProbabilityMathematics