LEADER 04453nam 22007335 450 001 9910484981703321 005 20200701155525.0 010 $a981-15-2700-8 024 7 $a10.1007/978-981-15-2700-5 035 $a(CKB)4920000000496063 035 $a(DE-He213)978-981-15-2700-5 035 $a(MiAaPQ)EBC6178585 035 $a(PPN)243759649 035 $a(EXLCZ)994920000000496063 100 $a20200417d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Studies in Behaviormetrics and Data Science $eEssays in Honor of Akinori Okada /$fedited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) 225 1 $aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v5 311 $a981-15-2699-0 327 $aCo-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . 330 $aThis book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts. . 410 0$aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v5 606 $aStatistics  606 $aMotivation research (Marketing) 606 $aMathematics 606 $aVisualization 606 $aSocial sciences 606 $aPsychometrics 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aConsumer Behavior$3https://scigraph.springernature.com/ontologies/product-market-codes/513060 606 $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 606 $aPsychometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/Y43000 615 0$aStatistics . 615 0$aMotivation research (Marketing). 615 0$aMathematics. 615 0$aVisualization. 615 0$aSocial sciences. 615 0$aPsychometrics. 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aStatistical Theory and Methods. 615 24$aConsumer Behavior. 615 24$aVisualization. 615 24$aMethodology of the Social Sciences. 615 24$aPsychometrics. 676 $a658.8342 702 $aImaizumi$b Tadashi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNakayama$b Atsuho$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYokoyama$b Satoru$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484981703321 996 $aAdvanced Studies in Behaviormetrics and Data Science$92369393 997 $aUNINA