Applied Linear Statistical Models
by KUTNEREdition: 5th
Format: Hardcover
Pub. Date: 2004-08-13
Publisher(s): McGraw-Hill/Irwin
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Author Biography
William Li is Associate Professor in the Department of Operations and Management Science at the Carlson School of Management, University of Minnesota. John Neter is retired from the Terry College of Business at the University of Georgia and was past president of the American Statistical Association and of the Derision Sciences Institute. Christopher J. Nachtsheim is Professor, Department Chair, and Curtis L. Carlson Professor of Operations and Management Science at the Carlson School of Management, University of Minnesota. Michael H. Kutner is Rollins Professor and Chair, Department of Biostatistics, and Director of the Biostatistics Consulting Center at the Rollins School of Public Health, Emory University.
Table of Contents
| Simple Linear Regression | |
| Linear Regression with One Predictor Variable | |
| Inferences in Regression and Correlation Analysis | |
| Diagnostics and Remedial Measures | |
| Simultaneous Inferences and Other Topics in Regression Analysis | |
| Matrix Approach to Simple Linear Regression Analysis | |
| Multiple Linear Regression | |
| Multiple Regression I | |
| Multiple Regression II | |
| Regression Models for Quantitative and Qualitative Predictors | |
| Building the Regression Model I: Model Selection and Validation | |
| Building the Regression Model II: Diagnostics | |
| Building the Regression Model III: Remedial Measures | |
| Autocorrelation in Time Series Data | |
| NonLinear Regression | |
| Introduction to Nonlinear Regression and Neural Networks | |
| Logistic Regression, Poisson Regression, and Generalized Linear Models | |
| Design and Analysis of Single-Factor Studies | |
| Introduction to the Design of Experimental and Observational Studies | |
| Single-Factor Studies | |
| Analysis of Factor Level Means | |
| ANOVA Diagnostics and Remedial Measures | |
| Multi-Factor Studies | |
| Two-Factor Studies with Equal Sample Sizes | |
| Two-Factor Studies-One Case per Treatment | |
| Randomized Complete Block Designs | |
| Analysis of Covariance | |
| Two-Factor Studies with Unequal Sample Sizes | |
| Multifactor Studies | |
| Random and Mixed Effects Models | |
| Specialized Study Designs | |
| Nested Designs, Subsampling, and Partially Nested Designs | |
| Repeated Measures and Related Designs | |
| Balanced Incomplete Block, Latin Square, and Related Designs | |
| Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs | |
| Response Surface Methodology | |
| Some Basic Results in Probability and Statistics | |
| Tables | |
| Data Sets | |
| Rules for Developing ANOVA Models and Tables for Balanced Designs | |
| Selected Bibliography | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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