Table of contents for Statistics for experimenters

Bibliographic record and links to related information available from the Library of Congress catalog

Information from electronic data provided by the publisher. May be incomplete or contain other coding.

1. Catalizing the Generation of Knowledge. 
 2. Basics: probability, Parameters and Statistics. 
 3. Comparing Two Entities: Relevant Reference Distributions, Tests and Confidence Intervals. 
 4. Comparing a Number of Entities: Randomized Blocks and Latin Squares. 
 5. Factorial Designs at Two Levels: Advantages of Experimental Design. 
 6. Fraction Factorial Designs: Economy in Experimentation. 
 7. Other Fractionals, Analysis and Choosing Follow-up Runs. 
 8. Factorial Designs and Data Transformation. 
 9. Multiple Sources of Variation: Split Plot Designs, Variance Components and Error Transmission. 
 10. Least Squares and Why You Need to Design Experiments. 
 11._Modelling Relationships, Sequential Assembly: Basics for Response Surface Methods. 
 12. Some Applications of Response Surface Methods. 
 13. Designing Robust Products: An Introduction. 
 14. Process Control, Forecasting and Times Series: An Introduction. 
 15. Evolutionary Process Operation. 

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