George A. F. (University of Auckland, New Zealand) Seber,
GAF Seber,
Alan J. (University of Auckland, New Zealand) Lee
John Wiley & Sons
2e druk, 2003
9780471415404
Linear Regression Analysis 2e
Specificaties
Gebonden, 592 blz.
|
Engels
John Wiley & Sons |
2e druk, 2003
ISBN13: 9780471415404
Rubricering
Onderdeel van serie
Wiley Series in Probability and Statistics
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9780471415404
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:592
Uitgever:John Wiley & Sons
Druk:2
Inhoudsopgave
Preface.
<p>Vectors of Random Variables.</p>
<p>Multivariate Normal Distribution.</p>
<p>Linear Regression: Estimation and Distribution Theory.</p>
<p>Hypothesis Testing.</p>
<p>Confidence Intervals and Regions.</p>
<p>Straight–Line Regression.</p>
<p>Polynomial Regression.</p>
<p>Analysis of Variance.</p>
<p>Departures from Underlying Assumptions.</p>
<p>Departures from Assumptions: Diagnosis and Remedies.</p>
<p>Computational Algorithms for Fitting a Regression.</p>
<p>Prediction and Model Selection.</p>
<p>Appendix A. Some Matrix Algebra.</p>
<p>Appendix B. Orthogonal Projections.</p>
<p>Appendix C. Tables.</p>
<p>Outline Solutions to Selected Exercises.</p>
<p>References.</p>
<p>Index.</p>
<p>Vectors of Random Variables.</p>
<p>Multivariate Normal Distribution.</p>
<p>Linear Regression: Estimation and Distribution Theory.</p>
<p>Hypothesis Testing.</p>
<p>Confidence Intervals and Regions.</p>
<p>Straight–Line Regression.</p>
<p>Polynomial Regression.</p>
<p>Analysis of Variance.</p>
<p>Departures from Underlying Assumptions.</p>
<p>Departures from Assumptions: Diagnosis and Remedies.</p>
<p>Computational Algorithms for Fitting a Regression.</p>
<p>Prediction and Model Selection.</p>
<p>Appendix A. Some Matrix Algebra.</p>
<p>Appendix B. Orthogonal Projections.</p>
<p>Appendix C. Tables.</p>
<p>Outline Solutions to Selected Exercises.</p>
<p>References.</p>
<p>Index.</p>