A bestseller for nearly 25 years, this resource helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. This second edition has been fully updated to reflect the many developments that have occurred since the original publication.
A bestseller for nearly 25 years, this resource helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. This second edition has been fully updated to reflect the many developments that have occurred since the original publication.
The Simplest Case: One-Way Treatment Structure in a Completely Randomized Design Structure with Homogeneous Errors. One-Way Treatment Structure in a Completely Randomized Design Structure with Heterogeneous Errors. Simultaneous Inference Procedures and Multiple Comparisons. Basics for Designing Experiments. Multilevel Designs: Split-Plots, Strip-Plots, Repeated Measures, and Combinations. Matrix Form of the Model. Balanced Two-Way Treatment Structures. Case Study: Complete Analyses of Balanced Two-Way Experiments. Using the Means Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Using the Effects Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Analyzing Large Balanced Two-Way Experiments Having Unequal Subclass Numbers. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers. Using the Means Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Using the Effects Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Case Study: Two-Way Treatment Structure with Missing Treatment Combinations. Analyzing Three-Way and Higher-Order Treatment Structures. Case Study: Three-Way Treatment Structure with Many Missing Treatment Combinations. Random Effects Models and Variance Components. Methods for Estimating Variance Components. Methods for Making Inferences about Variance Components. Case Study: Analysis of a Random Effects Model. Analysis of Mixed Models. Case Studies of a Mixed Model. Methods for Analyzing Split-Plot Type Designs. Methods for Analyzing Strip-Plot Type Designs. Methods for Analyzing Repeated Measures Experiments. Analysis of Repeated Measures Experiments When the Ideal Conditions Are Not Satisfied. Case Studies: Complex Examples Having Repeated Measures. Analysis of Crossover Designs. Analysis of Nested Designs. Appendix. Index.
The Simplest Case: One-Way Treatment Structure in a Completely Randomized Design Structure with Homogeneous Errors. One-Way Treatment Structure in a Completely Randomized Design Structure with Heterogeneous Errors. Simultaneous Inference Procedures and Multiple Comparisons. Basics for Designing Experiments. Multilevel Designs: Split-Plots, Strip-Plots, Repeated Measures, and Combinations. Matrix Form of the Model. Balanced Two-Way Treatment Structures. Case Study: Complete Analyses of Balanced Two-Way Experiments. Using the Means Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Using the Effects Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Analyzing Large Balanced Two-Way Experiments Having Unequal Subclass Numbers. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers. Using the Means Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Using the Effects Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Case Study: Two-Way Treatment Structure with Missing Treatment Combinations. Analyzing Three-Way and Higher-Order Treatment Structures. Case Study: Three-Way Treatment Structure with Many Missing Treatment Combinations. Random Effects Models and Variance Components. Methods for Estimating Variance Components. Methods for Making Inferences about Variance Components. Case Study: Analysis of a Random Effects Model. Analysis of Mixed Models. Case Studies of a Mixed Model. Methods for Analyzing Split-Plot Type Designs. Methods for Analyzing Strip-Plot Type Designs. Methods for Analyzing Repeated Measures Experiments. Analysis of Repeated Measures Experiments When the Ideal Conditions Are Not Satisfied. Case Studies: Complex Examples Having Repeated Measures. Analysis of Crossover Designs. Analysis of Nested Designs. Appendix. Index.
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