| Description |
1 online resource (292 pages). |
|
text file |
| Series |
Chapman & Hall/CRC Texts in Statistical Science
|
|
Chapman & Hall/CRC Texts in Statistical Science.
|
| 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)
|
|
Linear models (Statistics) |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Monahan, John F. A Primer on Linear Models. Hoboken : CRC Press, ©2008 9781420062014 |
| ISBN |
9781420062045 (electronic book) |
|
1420062042 (electronic book) |
| Standard No. |
10.1201/b11551 |
|
