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Linear regression analysis

Author: G A F Seber; A J Lee; Wiley InterScience (Online service)
Publisher: Hoboken, N.J. : Wiley-Interscience, ©2003.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : English : Second editionView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Seber, G.A.F. (George Arthur Frederick), 1938-
Linear regression analysis.
Hoboken, N.J. : Wiley-Interscience, ©2003
(DLC) 2003266044
(OCoLC)52381258
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: G A F Seber; A J Lee; Wiley InterScience (Online service)
ISBN: 9780471722199 0471722197 1118274423 9781118274422
OCLC Number: 775437886
Description: 1 online resource (xvi, 557 pages) : illustrations.
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.
Series Title: Wiley series in probability and statistics.
Responsibility: George A.F. Seber, Alan J. Lee.
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Abstract:

Requiring no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight line regression and simple analysis of variance models, this work covers the diagnostics  Read more...

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"With excellent motivating and presenting style, this book is suitable for a beginning graduate level regression course." (Journal of Statistical Computation and Simulation, July 2005) "...revises Read more...

 
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