Applied Linear Statistical Models, Part 6 - Class Notes
From Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, and William Li (McGraw Hill, 2005)
Copies of the classnotes are on the internet in PDF format as given below. The notes and supplements may contain hyperlinks to posted webpages; the links appear in red fonts. The "Proofs of Theorems" files were prepared in Beamer. The "Printout of Proofs" are printable PDF files of the Beamer slides without the pauses. These notes have not been classroom tested and may have typographical errors.
"Applied Linear Statistical Models" is not a formal class at ETSU, but the material here might overlap some with the Statistical Methods sequence (STAT 5710 and 5720). The book and these notes are broken into six parts. Links to the parts are given on my main Applied Linear Statistical Models webpage.
PART SIX. SPECIALIZED STUDY DESIGNS
Chapter 26. Nested Designs, Subsampling, and Partially Nested Designs.
- 26.1. Distinction between Nested and Crossed Factors.
- 26.2. Two-Factor Nested Designs.
- 26.3. Analysis of Variance for Two-Factor Nested Designs.
- 26.4. Evaluation of Appropriateness of Nested Design Model.
- 26.5. Analysis of Factor Effects in Two-Factor Nested Designs.
- 26.6. Unbalanced Nested-Two-Factor Designs.
- 26.7. Subsampling in Single-Factor Study with Completely Randomized Design.
- 26.8. Pure Subsampling in Three Stages.
- 26.9. Three-Factor Partially Nested Designs.
- Study Guide 26.
Chapter 27. Repeated Measures and Related Designs.
- 27.1. Elements of Repeated Measures Designs.
- 27.2. Single-Factor Experiments with Repeated Measures on All Treatments.
- 27.3. Two-Factor Experiments with Repeated Measures on One Factor.
- 27.4. Two-Factor Experiments with Repeated Measures on Both Factors.
- 27.5. Regression Approach to Repeated Measures Designs.
- 27.6. Split-Plot Designs.
- Study Guide 27.
Chapter 28. Balanced Imcomplete Block, Latin, and Related Designs.
- 28.1. Balanced Incomplete Block Designs.
- 28.2. Analysis of Balanced Incomplete Block Designs.
- 28.3. Latin Square Designs.
- 28.4. Latin Square Model.
- 28.5. Analysis of Latin Square Experiments.
- 28.6. Planning Latin Square Experiments.
- 28.7. Additional Replications with Latin Square Designs.
- 28.8. Replications in Repeated Measures Studies.
- Study Guide 28.
Chapter 29. Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs.
- 29.1. Two-Level Full Factorial Experiments.
- 29.2. Analysis of Unreplicated Two-level Studies.
- 29.3. Two-Level Fractional Factorial Designs.
- 29.4. Screening Experiments.
- 29.5. Incomplete Block Desings for Two-Level Factorial Experiments.
- 29.6. Robust Product and Process Design.
- Study Guide 29.
Chapter 30. Response Surface Methodology.
- 30.1. Response Surface Experiments.
- 30.2. Central Composite Response Surface Designs.
- 30.3. Optimal Response Surface Designs.
- 30.4. Anaysis of Response Surface Experiments.
- 30.5. Sequential Search for Optimum Conditions - Method of Steepest Ascent.
- Study Guide 30.
Return to Bob Gardner's home page