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Linear regression analysis / George A.F. Seber, Alan J. Lee.

By: Contributor(s): Series: Wiley series in probability and statisticsPublication details: Hoboken, N.J. : Wiley-Interscience, ©2003.Edition: Second editionDescription: 1 online resource (xvi, 557 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780471722199
  • 0471722197
  • 1118274423
  • 9781118274422
Subject(s): Genre/Form: Additional physical formats: Print version:: Linear regression analysis.DDC classification:
  • 519.5/36 22
LOC classification:
  • QA278.2 .S4 2003
Online resources:
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.
In: Wiley e-booksSummary: '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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AM PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) ebook (Browse shelf(Opens below)) 1 Available

Includes bibliographical references (pages 531-548) and index.

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.

'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.

Online resource; title from title screen (viewed Jan. 31, 2012).

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