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Herausgeber: 
  • Peter S. H. Leeflang
  • Koen H. Pauwels
  • Jaap E. Wieringa
  • Tammo H.A Bijmolt
  • Advanced Methods for Modeling Markets 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2018  
    Genre:  Wirtschaft / Recht 
     
    B / Business and Management / Decision Making / Management decision making / Management science / Market research / Market Research/Competitive Intelligence / Marketing / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory
    ISBN:  9783319851600 
    EAN-Code: 
    9783319851600 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  International Series in Quantitative Marketing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  11051 gr 
    Seiten:  733 
    Illustration:  X, 733 p. 75 illus., 24 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This 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. 

      
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