Abstract
THE PHILOSOPHY OF EXPERIMENTATION Why Design Experiments? Organizing the Experiment The Neglected Response Variable STATISTICAL EXPERIMENTAL DESIGN The Factorial 2-Level Design General Factorial Designs Fractional Factorials at 2-Levels Multi-Level Designs 3-Level Designs Randomized Block and Latin Square Nested Designs Evolutionary Operation SORTING THE SIGNAL FROM THE NOISE Simple Analysis Analysis of Means by Using the Variance YATES Analysis Analysis of 2k and 2k-p Designs Matrix Algebra Least Squares Analysis Putting ANOVA and Least Squares to Work ANOVA for Blocked and Nested Designs THE DERIVATION OF EMPIRICAL EQUATIONS FROM STATISTICALLY DESIGNED EXPERIMENTS A Case History of an Experimental Investigation UTILIZATION OF EMPIRICAL EQUATIONS Robust Design Monte Carlo Simulation and Tolerance Design Case History Completed: The Utilization of the Equation Statistical Tables Index
Keywords
Quality (philosophy)Computer scienceEpistemologyPhilosophy
Related Publications
Statistical design and analysis of experiments: with applications to engineering and science
Preface. PART I: FUNDAMENTAL STATISTICAL CONCEPTS. Statistics in Engineering and Science. Fundamentals of Statistical Inference. Inferences on Means and Standard Deviations. PAR...
Statistical principles in experimental design.
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 R...
Experimental Design: Procedures for the Behavioral Sciences
Chapter 1. Research Strategies and the Control of Nuisance Variables Chapter 2. Experimental Designs: an Overview Chapter 3. Fundamental Assumptions in Analysis of Variance Chap...
Stated choice methods analysis and applications
1. Choosing as a way of life Appendix A1. Choosing a residential telecommunications bundle 2. Introduction to stated preference models and methods 3. Choosing a choice model App...
The Design and Analysis of Clinical Experiments
Reliability of Measurement. Simple Linear Regression Analysis. The Parallel Groups Design. Special Cases of the Parallel Groups Study. Blocking to Control for Prognostic Variabl...
Publication Info
- Year
- 1996
- Type
- article
- Volume
- 159
- Issue
- 3
- Pages
- 619-619
- Citations
- 210
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
210
OpenAlex
Cite This
Tim Barker,
John Disney
(1996).
Quality by Experimental Design..
Journal of the Royal Statistical Society Series A (Statistics in Society)
, 159
(3)
, 619-619.
https://doi.org/10.2307/2983337
Identifiers
- DOI
- 10.2307/2983337