INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9780470744611 (hardback)
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
E-6234
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Optimal design of experiments
General Material Designation
[Book]
Other Title Information
:a case study approach
First Statement of Responsibility
/ Peter Goos and Bradley Jones
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Chichester, West Sussex, UK ;Hoboken, NJ
Name of Publisher, Distributor, etc.
: John Wiley,
Date of Publication, Distribution, etc.
, 2011.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiv, 287 p. , ill. , 24 cm.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Print
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"--Provided by publisher.
Text of Note
"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities?While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain. The structure of the book is organized around the following chapters: 1) Introduction explaining the concept of tailored DOE. 2) Basics of optimal design. 3) Nine case studies dealing with the above questions using the flow: description → design → analysis → optimization or engineering interpretation. 4) Summary. 5) Technical appendices for the mathematically curious"--Provided by publisher.
TOPICAL NAME USED AS SUBJECT
Industrial engineering, Experiments, Computer-aided design
Experimental design, Data processing
Industrial engineering, Case studies
DEWEY DECIMAL CLASSIFICATION
Number
670
.
285
LIBRARY OF CONGRESS CLASSIFICATION
Class number
T57
.
5
Book number
.
G66
2011
PERSONAL NAME - PRIMARY RESPONSIBILITY
Goos, Peter.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Jones, Bradley
ORIGINATING SOURCE
Country
ایران
old catalog
p
BL
1
a
Y
