Linear regression analysis

Linear regression analysis

by Seber, G. A. F., (George Arthur Frederick)

Type Book
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"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"--Provided by publisher.

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Title Statements

  • Full title :Linear regression analysis / George A.F. Seber, Alan J. Lee.

Summary

"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"--Provided by publisher.

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Edition Statements

  • Publication Date:©2003.
  • Edition:Second edition

Publication Statements

  • Publisher(s):Wiley-Interscience
  • Place of Publication:Hoboken, N.J
  • Language:eng
  • Publication Date:©2003.

The Physical Object

  • Description:1 online resource (xvi, 557 pages) : : illustrations

Edition Identifiers

  • ISBN:9780471722199, 0471722197, 1118274423, 9781118274422
  • oclc:ocn775437886
  • LC Classification:QA278.2
  • Dewey Decimal:519.5/36

Table of Contents

Front Matter -- Vectors of Random Variables -- Multivariate Normal Distribution -- Linear Regression: Estimation and Distribution Theory -- Hypothesis Testing -- Confidence Intervals and Regions -- Straight-Line Regression -- Polynomial Regression -- Analysis of Variance -- Departures from Underlying Assumptions -- Departures from Assumptions: Diagnosis and Remedies -- Computational Algorithms for Fitting a Regression -- Prediction and Model Selection -- Appendix A: Some Matrix Algebra -- Appendix B: Orthogonal Projections -- Appendix C: Tables -- Outline Solutions to Selected Exercises -- References -- Index -- Wiley Series in Probability and Statistics.

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