Research Catalog

The theory of linear models

Filter by

Item details
Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan How do I pick up this item and when will it be ready?	Text	Use in library	QA279 .J67 1993	Off-site

Description

xiii, 226 pages : illustrations; 25 cm

Subject

Bibliography (note)

Contents

Ch. 1. Simple Linear Regression. 1.1. The linear regression model. 1.2. Parameter estimation. 1.3. Properties of the estimators. 1.4. Residuals. 1.5. Parameter inference. 1.6. Writing statistical reports. 1.7. Analysis of the spinach data -- Ch. 2. The General Linear Model. 2.1. Linear models and linear algebra. 2.2. Maximum likelihood estimation. 2.3. The likelihood ratio test. 2.4. Simple linear regression revisited. 2.5. Distribution theory. 2.6. The relationship between the t- and F-tests. 2.7. Affine hypotheses and confidence regions. 2.8. Sufficiency. 2.9. Non-central distributions -- Ch. 3. One-Sample and One-Factor Analysis of Variance. 3.1. The one-sample model. 3.2. Paired observations. 3.3. Analysis of variance with one factor. 3.4. Parameterization of linear models. 3.5. Testing for homogeneity of variances -- Ch. 4. Multiple Regression Models. 4.1. Regression with replications. 4.2. Comparing regression lines. 4.3. Multiple regression. 4.4. Polynomial regression.
4.5. Prediction intervals. 4.6. Weighted linear models -- Ch. 5. Analysis of Residuals. 5.1. Residuals and the hat matrix. 5.2. Studentized residuals. 5.3. The non-null distribution of residuals. 5.4. The elements of residual analysis -- Ch. 6. Analysis of Variance With Two or Three Factors. 6.1. The two-factor model. 6.2. Pairwise comparisons. 6.3. A two-factor random effects model. 6.4. The latin square. 6.5. Three-factor analysis of variance.

ISBN

LCCN

OCLC

Owning Institutions

Princeton University Library