MARC Record from marc_columbia

LEADER: 03319mam a22004094a 4500
001 2431394
005 20220616043630.0
008 991014s2000 nyu b 001 0 eng
010 $a 99052840
015 $aGBA0-Z6859
020 $a0471255114 (alk. paper)
035 $a(OCoLC)ocm42690101
035 $9APX7427CU
035 $a(NNC)2431394
035 $a2431394
040 $aDLC$cDLC$dUKM$dNNC$dOrLoB-B
042 $apcc
050 00 $aQA279$b.W7 2000
082 00 $a519.5$221
100 1 $aWu, Chien-Fu.$0http://id.loc.gov/authorities/names/n82162560
245 10 $aExperiments :$bPlanning, analysis, and parameter design optimization /$cC.F. Jeff Wu, Michael Hamada.
260 $aNew York :$bJ. Wiley,$c2000.
263 $a0003
300 $axxviii, 630 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley series in probability and statistics
504 $aIncludes bibliographical references and index.
505 00 $g1.$tBasic Principles and Experiments with a Single Factor --$g2.$tExperiments With More Than One Factor --$g3.$tFull Factorial Experiments at Two Levels --$g4.$tFractional Factorial Experiments at Two Levels --$g5.$tFull Factorial and Fractional Factorial Experiments at Three Levels --$g6.$tOther Design and Analysis Techniques for Experiments at More Than Two Levels --$g7.$tNonregular Designs: Construction and Properties --$g8.$tExperiments with Complex Aliasing --$g9.$tResponse Surface Methodology --$g10.$tIntroduction to Robust Parameter Design --$g11.$tRobust Parameter Design for Signal-Response Systems --$g12.$tExperiments for Improving Reliability --$g13.$tExperiments With Nonnormal Data --$gA.$tUpper Tail Probabilities of the Standard Normal Distribution --$gB.$tUpper Percentiles of the t Distribution --$gC.$tUpper Percentiles of the X[superscript 2] Distribution --$gD.$tUpper Percentiles of the F Distribution --$gE.$tUpper Percentiles of the Studentized Range Distribution --
505 80 $gF.$tUpper Percentiles of the Studentized Maximum Modulus Distribution --$gG.$tCoefficients of Orthogonal Contrast Vectors --$gH.$tCritical Values for Lenth's Method.
520 1 $a"In this new work, Jeff Wu and Michael Hamada, introduce some of the newest discoveries in the design and analysis of experiments as well as their applications to system optimization, robustness, and treatment comparisons in the diverse field of engineering, technology, agriculture, biology, and medicine.".
520 8 $a"Drawing on examples from their impressive roster of industrial clients Wu and Hamada modernize accepted methodologies, while presenting many cutting-edge topics for the first time in a single, easily accessible source. These include robust parameter design, reliability improvement, analysis of nonnormal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays."--BOOK JACKET.
650 0 $aExperimental design.$0http://id.loc.gov/authorities/subjects/sh85046441
650 4 $aExperimental design.
700 1 $aHamada, Michael,$d1955-$0http://id.loc.gov/authorities/names/n99255173
830 0 $aWiley series in probability and statistics.$0http://id.loc.gov/authorities/names/n98048834
852 00 $bmat$hQA279$i.W7 2000