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E-raamat: Linear Regression Analysis 2e 2nd Edition [Wiley Online]

(University of Auckland, New Zealand), (University of Auckland, New Zealand)
  • Formaat: 592 pages, Charts: 2 B&W, 0 Color; Drawings: 5 B&W, 0 Color; Tables: 21 B&W, 0 Color; Graphs: 18 B&W, 0 Color
  • Sari: Wiley Series in Probability and Statistics
  • Ilmumisaeg: 25-Feb-2003
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 471722197
  • ISBN-13: 9780471722199
  • Wiley Online
  • Hind: 214,58 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 592 pages, Charts: 2 B&W, 0 Color; Drawings: 5 B&W, 0 Color; Tables: 21 B&W, 0 Color; Graphs: 18 B&W, 0 Color
  • Sari: Wiley Series in Probability and Statistics
  • Ilmumisaeg: 25-Feb-2003
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 471722197
  • ISBN-13: 9780471722199
Updating and expanding the original text, this new edition covers the current theory and applications of linear regression analysis. It provides a survey of the research literature and outlines the solutions to approximately 200 sample problems. Particular attention is given to diagnostics, model fitting, model selection, and prediction. Seber and Lee have each taught statistics at the University of Auckland. Annotation (c) Book News, Inc., Portland, OR (booknews.com)

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.
Preface.
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.


GEORGE A. F. SEBER, PhD, is Professor Emeritus of Statistics at the University of Auckland, New Zealand. ALAN J. LEE, PhD, is the Chairman of the Department of Statistics at the University of Auckland.