Description |
1 online resource (292 pages). |
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text file |
Series |
Chapman & Hall/CRC Texts in Statistical Science
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Chapman & Hall/CRC Texts in Statistical Science.
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Contents |
Front cover; Contents; Preface; Chapter 1: Examples of the General Linear Model; Chapter 2: The Linear Least Squares Problem; Chapter 3: Estimability and Least Squares Estimators; Chapter 4: Gauss-Markov Model; Chapter 5. Distributional Theory; Chapter 6. Statistical Inference; Chapter 7. Further Topics in Testing; Chapter 8. Variance Components and Mixed Models; Chapter 9. The Multivariate Linear Model; Appendix A: Review of Linear Algebra; Appendix B: Lagrange Multipliers; Bibliography; Back cover. |
Summary |
Preface Examples of the General Linear Model Introduction One-Sample Problem Simple Linear Regression Multiple Regression One-Way ANOVA First Discussion The Two-Way Nested Model Two-Way Crossed Model Analysis of Covariance Autoregression Discussion The Linear Least Squares Problem The Normal Equations The Geometry of Least Squares Reparameterization Gram-Schmidt Orthonormalization Estimability and Least Squares Estimators Assumptions for the Linear Mean Model Confounding, Identifiability, and Estimability Estimability and Least Squares Estimators F. |
Bibliography |
Includes bibliographical references and index. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Linear models (Statistics)
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Linear models (Statistics) |
Genre/Form |
Electronic books.
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Other Form: |
Print version: Monahan, John F. A Primer on Linear Models. Hoboken : CRC Press, ©2008 9781420062014 |
ISBN |
9781420062045 (electronic book) |
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1420062042 (electronic book) |
Standard No. |
10.1201/b11551 |
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