Statistical principles in experimental design.

1962/01/01 by B. J. WINER · 49 citations
Decision Sciences · Mathematics · Computer Science · #Optimal Experimental Design Methods #Statistical Methods in Clinical Trials #Advanced Multi-Objective Optimization Algorithms

paper · doi:10.1037/11774-000

openalex publication_date 1962/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

Abstract

CHAPTER 1: Introduction to Design CHAPTER 2: Principles of Estimation and Inference: Means and Variance CHAPTER 3: Design and Analysis of Single-Factor Experiments: Completely Randomized Design CHAPTER 4: Single-Factor Experiments Having Repeated Measures on the Same Element CHAPTER 5: Design and Analysis of Factorial Experiments: Completely-Randomized Design CHAPTER 6: Factorial Experiments: Computational Procedures and Numerical Example CHAPTER 7: Multifactor Experiments Having Repeated Measures on the Same Element CHAPTER 8: Factorial Experiments in which Some of the Interactions are Confounded CHAPTER 9: Latin Squares and Related Designs CHAPTER 10: Analysis of Covariance

Citations

• Complex Analyses of Variance: General Problems
• On Methods in the Analysis of Profile Data
• THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED
• Multiple Range and Multiple F Tests
• Combining Unbiased Estimators

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