LEADER 01157nam0-22003851i-450- 001 990008102410403321 005 20130515114127.0 035 $a000810241 035 $aFED01000810241 035 $a(Aleph)000810241FED01 035 $a000810241 100 $a20050502d1981----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay---------1yy 200 1 $aScritti in onore di Orsolina Montevecchi$fa cura di Edda Bresciani ... [et al.] 210 $aBologna$cClueb$d1981 215 $aXXIII, 469 p.$c1 ritr$d24 cm 610 0 $aEgitto antico$aSaggi 610 0 $aPapitologia$aSaggi 610 0 $aMontevecchi Orsolina 676 $a938 702 1$aMontevecchi,$bOrsolina$f<1911- > 702 1$aBresciani,$bEdda$f<1930- > 702 1$aGeraci,$bGiovanni 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008102410403321 952 $aDDR-Onor. Montevecchi$b392$fDDR 952 $a938 MON 1$bIst.Fil.cl. 896$fFLFBC 952 $aP2D-MONTEVECCHI O.-1981$bIst.Fil.cl. 896$fFLFBC$m10-38539 959 $aFLFBC 959 $aDDR 996 $aScritti in onore di Orsolina Montevecchi$977414 997 $aUNINA LEADER 05163nam 22005895 450 001 9910254919103321 005 20200629212652.0 010 $a3-319-53469-6 024 7 $a10.1007/978-3-319-53469-5 035 $a(CKB)3710000001633005 035 $a(DE-He213)978-3-319-53469-5 035 $a(MiAaPQ)EBC4987725 035 $a(PPN)222233508 035 $a(EXLCZ)993710000001633005 100 $a20170829d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Methods for Modeling Markets /$fedited by Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H.A Bijmolt, Koen H. Pauwels 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 733 p. 75 illus., 24 illus. in color.) 225 1 $aInternational Series in Quantitative Marketing,$x0923-6716 311 $a3-319-53467-X 320 $aIncludes bibliographical references at the end of each chapters and indexes. 327 $aAdvanced Methods for Modeling Markets -- Advanced Individual Demand Models -- Traditional Time Series -- State Space Models -- Spatial Models -- Structural Models -- Statistical Mediation Analysis ? Modeling Competitive Responsiveness and Game Theoretic Models -- Diffusion and Adoption Models -- Structural Equation Modeling -- Partial Least Squares Path Modeling -- Mixture Models -- Hidden Markov Models in Marketing -- Generalized Method of Moments -- Bayesian Analysis -- Non and Semiparametric Regression Models -- Endogeneity in Market Models -- Machine Learning and Big Data -- The Future of Marketing Modeling. 330 $aThis volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In todays environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics. . 410 0$aInternational Series in Quantitative Marketing,$x0923-6716 606 $aMarketing research 606 $aOperations research 606 $aDecision making 606 $aMarket Research/Competitive Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/513030 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 615 0$aMarketing research. 615 0$aOperations research. 615 0$aDecision making. 615 14$aMarket Research/Competitive Intelligence. 615 24$aOperations Research/Decision Theory. 676 $a658.800151 702 $aLeeflang$b Peter S. 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