This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.…mehr
This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Preface 1 Introduction 2 Simple Comparative Experiments 3 Experiments with a Single Factor: The Analysis of Variance 4 Randomized Blocks, Latin Squares,and Related Designs 5 Introduction to Factorial Designs 6 The 2k Factorial Design 7 Blocking and Confounding in the 2k Factorial Design 8 Two-Level Fractional Factorial Designs 9 Three-Level and Mixed-Level Factorial and Fractional Factorial Designs 10 Fitting Regression Models 11 Response Surface Methods and Designs 12 Robust Parameter Design and Process 13 Experiments with Random Factors 14 Nested and Split-Plot Designs 15 Other Design and Analysis Topics Appendix Bibliography Index
Preface 1 Introduction 2 Simple Comparative Experiments 3 Experiments with a Single Factor: The Analysis of Variance 4 Randomized Blocks, Latin Squares,and Related Designs 5 Introduction to Factorial Designs 6 The 2k Factorial Design 7 Blocking and Confounding in the 2k Factorial Design 8 Two-Level Fractional Factorial Designs 9 Three-Level and Mixed-Level Factorial and Fractional Factorial Designs 10 Fitting Regression Models 11 Response Surface Methods and Designs 12 Robust Parameter Design and Process 13 Experiments with Random Factors 14 Nested and Split-Plot Designs 15 Other Design and Analysis Topics Appendix Bibliography Index
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