|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
2063869 |
005 |
20240202091600.0 |
008 |
120113s2013 njua b 001 0 eng |
010 |
|
|
|a 2012000877
|
020 |
|
|
|a 9781118146927
|
020 |
|
|
|a 1118146921
|
035 |
|
|
|a 2063869
|
035 |
|
|
|a 14285131
|
035 |
|
|
|a (OCoLC)775590826
|
035 |
|
|
|a (OCoLC)ocn775590826
|
035 |
|
|
|a ocn775590826
|
040 |
|
|
|a DLC
|e rda
|b eng
|c DLC
|d YDX
|d YDXCP
|d CDX
|d BWX
|d OCoLC
|
042 |
|
|
|a pcc
|
050 |
0 |
0 |
|a QA279
|b .M66 2013
|
082 |
0 |
0 |
|a 519.5/7
|2 23
|
084 |
|
|
|a TEC009060
|2 bisacsh
|
097 |
|
|
|3 Bib#:
|a 2063869
|
100 |
1 |
|
|a Montgomery, Douglas C.
|
245 |
1 |
0 |
|a Design and analysis of experiments /
|c Douglas C. Montgomery.
|
250 |
|
|
|a Eighth edition.
|
260 |
|
|
|a Hoboken, NJ :
|b John Wiley & Sons, Inc.,
|c ©2013.
|
300 |
|
|
|a xvii, 730 pages :
|b illustrations ;
|c 27 cm.
|
336 |
|
|
|a text
|2 rdacontent
|
337 |
|
|
|a unmediated
|2 rdamedia
|
338 |
|
|
|a volume
|2 rdacarrier
|
500 |
|
|
|a 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 .
|
504 |
|
|
|a Includes bibliographical references and index.
|
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"-- Provided by publisher.
|
698 |
|
|
|a ENCH 395
|b ENCH395
|
650 |
|
0 |
|a Experimental design.
|
856 |
4 |
1 |
|3 Table of contents only
|u http://catdir.loc.gov/catdir/enhancements/fy1206/2012000877-t.html
|t 0
|
856 |
4 |
2 |
|3 Publisher description
|u http://catdir.loc.gov/catdir/enhancements/fy1206/2012000877-d.html
|
991 |
|
|
|a 2015-01-21
|
992 |
|
|
|a Created by glwo, 21/01/2015. Updated by alwh1, 26/02/2016.
|
999 |
f |
f |
|i 3e25b203-5c85-5361-a109-7f59f1b551b2
|s 22cf6a42-0fc1-5750-bda8-3d3dd52139d7
|t 0
|
952 |
f |
f |
|p 3 day
|a University Of Canterbury
|b UC Libraries
|c EPS Library
|d EPS Library, Level 1, High Demand
|t 0
|e QA 279 .M787 2013
|h Library of Congress classification
|i Book
|m AU19375778B
|