000			02968cam a2200337 a 4500
005			20250918151507.0
008			120326s2011 njua b 001 0 eng
020			_a9780470744611 (hardback) _cRM294.80
039		9	_a201206121630 _bariff _c201206010929 _drasyilla _y03-26-2012 _zrahah
040			_aUKM
090			_aT57.5.G643
090			_aT57.5 _b.G643
100	1		_aGoos, Peter.
245	1	0	_aOptimal design of experiments : _ba case study approach / _cPeter Goos and Bradley Jones.
260			_aHoboken, N.J. : _bWiley, _c2011.
300			_axiv, 287 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references (p. [277]-282) and index.
520			_a'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'-- _cProvided by publisher.
520			_a'This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples'-- _cProvided by publisher.
650		0	_aIndustrial engineering _xExperiments _xComputer-aided design.
650		0	_aExperimental design _xData processing.
650		0	_aIndustrial engineering _vCase studies.
650		7	_aSCIENCE / Experiments & Projects _2bisacsh.
700	1		_aJones, Bradley.
907			_a.b1529657x _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kT57.5.G643
914			_avtls003493517
991			_aFakulti Sains Sosial Dan Kemanusiaan
998			_al _b2012-01-03 _cm _da _feng _gnju _y0 _z.b1529657x
999			_c513527 _d513527