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Statistical design and analysis of experiments: with applications to engineering and science
Abstract
Preface. PART I: FUNDAMENTAL STATISTICAL CONCEPTS. Statistics in Engineering and Science. Fundamentals of Statistical Inference. Inferences on Means and Standard Deviations. PART II: DESIGN AND ANALYSIS WITH FACTORIAL STRUCTURE. Statistical Principles in Experimental Design. Factorial Experiments in Completely Randomized Designs. Analysis of Completely Randomized Designs. Fractional Factorial Experiments. Analysis of Fractional Factorial Experiments. PART III: DESIGN AND ANALYSIS WITH RANDOM EFFECTS. Experiments in Randomized Block Designs. Analysis of Designs with Random Factor Levels. Nested Designs. Special Designs for Process Improvement. Analysis of Nested Designs and Designs for Process Improvement. PART IV: DESIGN AND ANALYSIS WITH QUANTITATIVE PREDICTORS AND FACTORS. Linear Regression with One Predicator Variables. Linear Regression with Several Predicator Variables. Linear Regression with Factors and Covariates as Predictors. Designs and Analyses for Fitting Re sponse Surfaces. Model Assessment. Variable Selection Techniques. Appendix: Statistical Tables. Index.
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“These designs are introduced in Box et al., 1978; Box and Draper, 1987; Mason et al., 1991; Coleman and Montgomery, 1993; Kleppmann, 2009; Montgomery, 2009, 2013.”
Background
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1990-01-01
- Volume
- 27
- Issue
- 05
- Pages
- 27-2741-27-2741
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2101517004
- Cited by
- 951
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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