Fundamental Concepts in the Design of Experiments

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This brief, yet comprehensive text covers the essentials of experimental design used by applied researchers in solving problems in the field. It is appropriate for a variety of experimental methods courses found in engineering and statistics departments. Students learn to use applied statistics for planning, running, and analyzing an experiment. The text includes 350+ problems taken from the author's actual industrial consulting experiences to give students valuable practice with real data and problem solving. ...
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Overview


This brief, yet comprehensive text covers the essentials of experimental design used by applied researchers in solving problems in the field. It is appropriate for a variety of experimental methods courses found in engineering and statistics departments. Students learn to use applied statistics for planning, running, and analyzing an experiment. The text includes 350+ problems taken from the author's actual industrial consulting experiences to give students valuable practice with real data and problem solving. The use of the computer is promoted and SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis. Coverage of the analysis of residuals, the concepts of resolution in fractional replications, the Plackett-Burman designs, and Taguchi techniques isnew to this edition.
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Product Details

  • ISBN-13: 9780030977107
  • Publisher: Oxford University Press, USA
  • Publication date: 1/1/1994
  • Edition number: 4
  • Pages: 68
  • Product dimensions: 6.50 (w) x 9.56 (h) x 1.02 (d)

Meet the Author

Purdue University, Emeritus
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Table of Contents

Preface
Ch. 1 The Experiment, the Design, and the Analysis 1
Ch. 2 Review of Statistical Inference 18
Ch. 3 Single-Factor Experiments with No Restrictions on Randomization 55
Ch. 4 Single-Factor Experiments: Randomized Block and Latin Square Designs 103
Ch. 5 Factorial Experiments 133
Ch. 6 Fixed, Random, and Mixed Models 168
Ch. 7 Nested and Nested-Factorial Experiments 190
Ch. 8 Experiments of Two or More Factors: Restrictions on Randomization 222
Ch. 9 2[superscript f] Factorial Experiments 239
Ch. 10 3[superscript f] Factorial Experiments 268
Ch. 11 Factorial Experiment: Split-Plot Design 292
Ch. 12 Factorial Experiment: Confounding in Blocks 311
Ch. 13 Fractional Replication 340
Ch. 14 The Taguchi Approach to the Design of Experiments 370
Ch. 15 Regression 403
Ch. 16 Miscellaneous Topics 442
Summary and Special Problems 493
Glossary of Terms 499
References 505
Statistical Tables 507
Answers to Selected Problems 525
Index 559
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