Screen LibraryLinear models in statistics
The essential introduction to the theory and application of linear models-now in a valuable new edition. Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to m.
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| Literature type: | Electronic eBook |
| Language: | English |
| Edition: | 2nd ed. |
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470192610 |
| Summary: |
The essential introduction to the theory and application of linear models-now in a valuable new edition. Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to m. |
| Carrier Form: | 1 online resource (xvi, 672 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 653-661) and index. |
| ISBN: |
9780470192610 0470192615 9780470192603 0470192607 |
| Index Number: | QA276 |
| CLC: | O212 |
| Contents: | Matrix algebra -- Random vectors and matrices -- Multivariate normal distribution -- Distribution of quadratic forms in y -- Simple linear regression -- Multiple regression : estimation -- Multiple regression : tests of hypotheses and confidence intervals -- Multiple regression : model validation and diagnostics -- Multiple regression : random x's -- Multiple regression : Bayesian inference -- Analysis-of-variance models -- One-way analysis-of-variance : balanced case -- Two-way analysis-of-variance : balanced case -- Analysis-of-variance : the cell mean model for unbalanced data -- Analysis |