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Design and analysis of experiments / Douglas C. Montgomery.

By: Montgomery, Douglas C.
Publisher: Hoboken : John Wiley, c2009Edition: 7th ed.Description: xvii, 656 p. : ill. ; 26 cm.ISBN: 9780470128664 (hbk.); 0470128666 (hbk.).Subject(s): Experimental designDDC classification: 001.434
Contents:
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 Robustness Studies. 13. Experiments with Random Factors. 14. Nested and Split-Plot Designs. 15. Other Design and Analysis Topics.
Item type Current location Call number Copy number Status Notes Date due Barcode Remark
Main Collection TU External Storage-LCS
001.434 MON (Browse shelf) 1 Available SOExx,07015,03,CL 5000095764 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1
Main Collection TU External Storage-LCS
001.434 MON (Browse shelf) 1 Available SOExx,07017,03,GR 5000095955 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1
Main Collection TU External Storage-LCS
001.434 MON (Browse shelf) 1 Available SOExx,07015,03,CL 5000095642 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1

Includes bibliographical references (p. 647-651) and index.

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 Robustness Studies. 13. Experiments with Random Factors. 14. Nested and Split-Plot Designs. 15. Other Design and Analysis Topics.