Title:
Applied linear statistical models
Series:
McGraw-Hill/Irwin series operations and decision sciences
Edition:
5th ed.
Publication Information:
Boston, MA : McGraw-Hill Irwin, 2005
Physical Description:
1v + 1 CD-ROM
ISBN:
9780072386882
General Note:
Accomapnied by compact disc : CP 6815
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010080710 | QA278.2 A66 2005 | Open Access Book | Book | Searching... |
Searching... | 30000010235689 | QA278.2 A66 2005 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
This new edition of Applied Linear Statistical Models retains the book's uniquely straightforward writing style and format while providing you with the latest information and knowledge. Updates include developments and methods in partial regression and residual plots, an entirely new introduction to the Design of Experiments section that frames and outlines the organization and concepts of design and ANOVA, and more.
Table of Contents
| Part 1 Simple Linear Regression |
| 1 Linear Regression with One Predictor Variable |
| 2 Inferences in Regression and Correlation Analysis |
| 3 Diagnostics and Remedial Measures |
| 4 Simultaneous Inferences and Other Topics in Regression Analysis |
| 5 Matrix Approach to Simple Linear Regression Analysis |
| Part 2 Multiple Linear Regression |
| 6 Multiple Regression I |
| 7 Multiple Regression II |
| 8 Regression Models for Quantitative and Qualitative Predictors |
| 9 Building the Regression Model I: Model Selection and Validation |
| 10 Building the Regression Model II: Diagnostics |
| 11 Building the Regression Model III: Remedial Measures |
| 12 Autocorrelation in Time Series Data |
| Part 3 NonLinear Regression |
| 13 Introduction to Nonlinear Regression and Neural Networks |
| 14 Logistic Regression, Poisson Regression, and Generalized Linear Models |
| Part 4 Design and Analysis of Single-Factor Studies |
| 15 Introduction to the Design of Experimental and Observational Studies |
| 16 Single-Factor Studies |
| 17 Analysis of Factor Level Means |
| 18 ANOVA Diagnostics and Remedial Measures |
| Part 5 Multi-Factor Studies |
| 19 Two-Factor Studies with Equal Sample Sizes |
| 20 Two-Factor Studies-One Case per Treatment |
| 21 Randomized Complete Block Designs |
| 22 Analysis of Covariance |
| 23 Two-Factor Studies with Unequal Sample Sizes |
| 24 Multifactor Studies |
| 25 Random and Mixed Effects Models |
| Part 6 Specialized Study Designs |
| 26 Nested Designs, Subsampling, and Partially Nested Designs |
| 27 Repeated Measures and Related Designs |
| 28 Balanced Incomplete Block, Latin Square, and Related Designs |
| 29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs |
| 30 Response Surface Methodology |
| Appendix A Some Basic Results in Probability and Statistics |
| Appendix B Tables |
| Appendix C Data Sets |
| Appendix D Rules for Developing ANOVA Models and Tables for Balanced Designs |
| Appendix E Selected Bibliography |
