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雷达卡
A Classic adapted to modern times
Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.
Preface to the Second Edition.
Chapter 1. Catalizing the Generation of Knowledge.
Chapter 2. Basics: Probability, Parameters and Statistics.
Chapter 3. Comparing Two Entities: Relevant Reference Distributions, Tests and Confidence Intervals.
Chapter 4. Comparing a Number of Entities: Randomized Blocks and Latin Squares.
Chapter 5. Factorial Designs at Two Levels: Advantages of Experimental Design.
Chapter 6. Fraction Factorial Designs: Economy in Experimentation.
Chapter 7. Other Fractionals, Analysis and Choosing Follow-up Runs.
Chapter 8. Factorial Designs and Data Transformation.
Chapter 9. Multiple Sources of Variation: Split Plot Designs, Variance Components and Error Transmission.
Chapter 10. Least Squares and Why You Need to Design Experiments.
Chapter 11. Modelling Relationships, Sequential Assembly: Basics for Response Surface Methods.
Chapter 12. Some Applications of Response Surface Methods.
Chapter 13. Designing Robust Products: An Introduction.
Chapter 14. Process Control, Forecasting and Times Series: An Introduction.
Chapter 15. Evolutionary Process Operation.
Statistics for Experimenters_ Design, Innovatieorge E. P. Box & J. Stuart Hunt.pdf
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