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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:79534039:3623
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:79534039:3623?format=raw

LEADER: 03623cam a2200529Ia 4500
001 15080365
005 20210607114734.0
006 m o d
007 cr cnu---unuuu
008 100930s2011 flua ob 001 0 eng d
035 $a(OCoLC)ocn667274343
035 $a(NNC)15080365
040 $aN$T$beng$epn$cN$T$dUUS$dCUS$dE7B$dCOF$dOCLCQ$dWAU$dOCLCQ$dYDXCP$dOCLCF$dOCLCQ$dNLE$dUKMGB$dUKAHL
015 $aGBB7A9953$2bnb
016 7 $a018392584$2Uk
020 $a9781420099973$q(electronic bk.)
020 $a1420099973$q(electronic bk.)
020 $z9781420099966$q(print)
020 $z1420099965$q(print)
035 $a(OCoLC)667274343
037 $aTANDF_197569$bIngram Content Group
050 4 $aHF5415.2$b.R24 2011eb
072 7 $aBUS$x043060$2bisacsh
082 04 $a658.8/343$222
049 $aZCUA
100 1 $aRaghavarao, Damaraju.
245 10 $aChoice-based conjoint analysis :$bmodels and designs /$cDamaraju Raghavarao, James B. Wiley, Pallavi Chitturi.
260 $aBoca Raton, FL :$bChapman & Hall/CRC,$c©2011.
300 $a1 online resource (xi, 180 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
505 0 $aIntroduction -- Some Statistical Concepts -- Generic Designs -- Designs with Ordered Attributes -- Reducing Choice Set Sizes -- Availability (Cross-Effects) Designs -- Sequential Methods -- Mixture Designs.
520 $aThe book covers designs appropriate for four classes of DOE problems: (1) attributes in CA and DCE studies are often ordered; (2) studies increasingly are computer-assisted; (3) choice is often influenced by competition; and (4) constraints may exist on attribute levels. Discussion begins with commonly used "generic" designs. The text then presents designs that avoid "dominated" or "dominating" profiles that may occur with ordered attributes and explores the use of orthogonal polynomials to describe relationships between ordered attribute levels and preference. Computer administration entails limited "screen real estate" for presenting concept profiles. The book covers approaches for subsetting attributes and/or levels to "fit" profiles into available "screen real estate." It then discusses strategies for sequential experimentation. Choice also is influenced by the availability of competing alternatives. The book uses availability and cross-effects designs to illustrate the design and analysis of portfolios and shows the relationship between availability effects and interaction effects in analysis of variance models. The last chapter highlights approaches to experimental design in which constraints are imposed on the levels of attributes. These designs provide the means to untangle the pricing and formulation problems in CA and DCE.
588 0 $aPrint version record.
650 0 $aConjoint analysis (Marketing)
650 0 $aConsumers' preferences.
650 7 $aBUSINESS & ECONOMICS$xMarketing$xResearch.$2bisacsh
650 7 $aConjoint analysis (Marketing)$2fast$0(OCoLC)fst00875302
650 7 $aConsumers' preferences.$2fast$0(OCoLC)fst00876441
655 4 $aElectronic books.
700 1 $aWiley, James B.
700 1 $aChitturi, Pallavi.
776 08 $iPrint version:$aRaghavarao, Damaraju.$tChoice-based conjoint analysis.$dBoca Raton, FL : Chapman & Hall/CRC, ©2011$z9781420099966$w(DLC) 2010007126$w(OCoLC)665064319
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15080365$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS