Librarian View
LEADER 02892cam a2200409 i 4500
001
991008191568207546
005
20240509144605.0
008
200407s2021 njua b 001 0 eng d
010
a| 2020014463
015
a| GBC0I3609
2| bnb
016
7
a| 020018896
2| Uk
020
a| 9781119470106
q| (hardcover)
020
a| 1119470102
q| (hardcover)
035
a| (OCoLC)1150811287
z| (OCoLC)1131889668
z| (OCoLC)1230543574
035
a| (OCoLC)on1150811287
040
a| DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| OCLCF
d| YDX
d| OCLCO
d| UKMGB
d| CVU
d| HK-SYU
042
a| pcc
050
0
0
a| QA279
b| .W7 2021
082
0
0
a| 519.5/7
2| 23
092
0
a| 519.57
b| WU 2021
100
1
a| Wu, Chien-Fu,
e| author.
245
1
0
a| Experiments :
b| planning, analysis, and optimization /
c| C.F. Jeff Wu, Georgia Institute of Technology, Atlanta, United States, Michael S. Hamada, Los Alamos National Laboratory, New Mexico, United States.
250
a| Third Edition.
264
1
a| Hoboken, NJ :
b| John Wiley & Sons, Inc.,
c| 2021.
300
a| xxxiii, 700 pages :
b| illustrations ;
c| 24 cm.
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
490
1
a| Wiley series in probability and statistics
520
a| "This Third Edition covers design of experiments and integrates computer experiments with other design topics. The main changes in this Third Edition are two new chapters, one on computer experiments, the other on optimal design. Computer experiments have become very popular in experimental design because increasingly more and more experiments are conducted on a computer, such as running finite element simulations, instead of conducting physical experiments. This book starts each chapter with a real experiment. Then, the authors develop the needed tools in subsequent sections. Finally, the chapter ends with the application of these tools to the experiment. Each chapter includes exercises, and the authors have added new exercise problems with selected solutions to the Instructor's solutions manual. This is an ideal book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians. Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships. This information is needed to manage process inputs in order to optimize the output"--
c| Provided by publisher.
504
a| Includes bibliographical references and indexes.
650
0
a| Experimental design.
700
1
a| Hamada, Michael,
d| 1955-
e| author.
830
0
a| Wiley series in probability and statistics.
910
a| jz
b| wlc
c| wsl
998
a| book
b| 16-11-23
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| GED217