000 02652cam a2200361 i 4500
003 EG-NbEJU
005 20241127233632.0
008 240526s2013 njua grb 001 0 eng d
010 _a2012000877
020 _a9781118146927 (hbk. : acidfree paper)
040 _aEG-NbEJU
_beng
_cEG-NbEJU
_dEG-NbEJU
041 _aeng
042 _apcc
050 0 0 _aQA279
_bM66 2013
082 0 0 _a519.5/7
_223
084 _aTEC009060
_2bisacsh
100 1 _aMontgomery , Douglas C.
245 1 0 _aDesign and Analysis of Experiments /
_cDouglas C. Montgomery , Arizona State University
250 _aEighth Edition
260 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc.,
_c[2013]
300 _axvii, 730 pages :
_bIllustrations ;
_c26 cm
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes Bibliographical References (pages 719-724) and Index
505 8 _aMachine 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 .
520 _a"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"--
_cProvided by publisher.
650 0 _aExperimental design.
_2LCSH
650 7 _aTECHNOLOGY & ENGINEERING / Industrial Engineering.
_2bisacsh
901 _aنورهان
902 _aENG_03_ (478)
_aENG_03_ (479)
942 _2lcc
_n0
_cBK
999 _c4193
_d4193