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Design and analysis of experiments / Douglas C. Montgomery, Arizona State University.

By: Material type: TextTextPublication details: Hoboken, NJ : John Wiley & Sons, Inc., [2013]Edition: Eighth editionDescription: xvii, 730 pages : illustrations ; 26 cmISBN:
  • 9781118146927 (hbk. : acidfree paper)
Subject(s): DDC classification:
  • 519.5/7 23
LOC classification:
  • QA279 .M66 2013
Other classification:
  • TEC009060
Online resources:
Contents:
Machine generated contents note: Chapter 1: Introduction Chapter 2: Simple Comparative Experiments Chapter 3: Experiments with a Single Factor: The Analysis of Variance Chapter 4: Randomized Blocks, Latin Squares, and Related Designs Chapter 5: Introduction to Factorial Designs Chapter 6: The 2k Factorial Design Chapter 7: Blocking and Confounding in the 2k Factorial Design Chapter 8: Two-Level Fractional Factorial Designs Chapter 9: Additional Design and Analysis for Factorial and Fractional Factorial Designs Chapter 10: Fitting Regression Models Chapter 11: Response Surface Methods and Designs Chapter 12: Robust Parameter Design and Process Robustness Studies Chapter 13: Experiments with Random Factors Chapter 14: Nested and Split-Plot Designs Chapter 15: Other Design and Analysis Topics Appendix .
Summary: "The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"--
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Books Books KWUST-Main Library General Stacks Non-fiction Qa279.M66 2013 (Browse shelf(Opens below)) C.1 Available 2018-0413
Books Books KWUST-Main Library General Stacks Non-fiction QA 279.M66 2013 (Browse shelf(Opens below)) C.2 Available 2018-0414
Books Books KWUST-Main Library General Stacks Non-fiction QA 279.M66 2013 (Browse shelf(Opens below)) C.3 Available 2018-0415

Includes bibliographical references (pages 719-724) and index.

Machine generated contents note: Chapter 1: Introduction Chapter 2: Simple Comparative Experiments Chapter 3: Experiments with a Single Factor: The Analysis of Variance Chapter 4: Randomized Blocks, Latin Squares, and Related Designs Chapter 5: Introduction to Factorial Designs Chapter 6: The 2k Factorial Design Chapter 7: Blocking and Confounding in the 2k Factorial Design Chapter 8: Two-Level Fractional Factorial Designs Chapter 9: Additional Design and Analysis for Factorial and Fractional Factorial Designs Chapter 10: Fitting Regression Models Chapter 11: Response Surface Methods and Designs Chapter 12: Robust Parameter Design and Process Robustness Studies Chapter 13: Experiments with Random Factors Chapter 14: Nested and Split-Plot Designs Chapter 15: Other Design and Analysis Topics Appendix .

"The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"--

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