Applied Linear Statistical Models
by Kutner, Michael H.; Nachtsheim, Chris J.; Wasserman, WilliamEdition: 4th
Format: Hardcover
Pub. Date: 1996-02-01
Publisher(s): MCG
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Summary
There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.
Table of Contents
1 Linear Regression with One Independent Variable 2 Inferences in Regression Analysis 3 Diagnostic and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Selection of Predictor Variables 9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
3 Diagnostic and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Selection of Predictor Variables 9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
5 Matrix Approach to Simple Linear Regression Analysis 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Selection of Predictor Variables 9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
7 Multiple Regression II 8 Building the Regression Model I: Selection of Predictor Variables 9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
Appendixes
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