The Theory of the Design of Experiments

摘要: SOME GENERAL CONCEPTS Types of Investigation Observational Studies Some Key Terms Requirements in Design Interplay between and Analysis Steps A Simplified Model Broader View AVOIDANCE OF BIAS General Remarks Randomization Retrospective Adjustment for Bias More on Causality CONTROL HAPHAZARD VARIATION Precision Improvement by Blocking Matched Pairs Randomized Block Partitioning Sums Squares Improving Special Models Error Variation SPECIALIZED BLOCKING TECHNIQUES Latin Incomplete Designs Cross-Over FACTORIAL EXPERIMENTS: BASIC IDEAS Example Main Effects Interactions Example: Continued Two-Level Factorial Systems Fractional Factorials FURTHER DEVELOPMENTS Confounding 2k Other Split Plot Nonspecific Factors Quantitative Taguchi Methods Conclusion OPTIMAL DESIGN Simple Examples Theory Optimality Criteria Algorithms Construction Nonlinear Space-Filling Bayesian Traditional ADDITIONAL TOPICS Scale Effort Adaptive Sequential Regression One-Dimensional Structure Spatial APPENDIX A: Statistical B: Algebra C: Computational Issues Each chapter also contains Bibliographic Notes plus Further Results Exercises