000			02790cam a2200349 i 4500
001			17120364
003			OSt
005			20231012143525.0
008			120113s2013 njua b 001 0 eng
010			_a 2012000877
020			_a9781118146927 (hbk. : acidfree paper)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA279 _b.M66 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
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"--
650		0	_aExperimental design.
650		7	_aTECHNOLOGY & ENGINEERING / Industrial Engineering. _2bisacsh
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy1206/2012000877-t.html
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1206/2012000877-d.html
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c1630 _d1630