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    Quantitative Models in Marketing Research (Hardback) By (author) Philip Hans Franses, By (author) Richard Paap

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    DescriptionAdvances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.


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  • Full bibliographic data for Quantitative Models in Marketing Research

    Title
    Quantitative Models in Marketing Research
    Authors and contributors
    By (author) Philip Hans Franses, By (author) Richard Paap
    Physical properties
    Format: Hardback
    Number of pages: 222
    Width: 180 mm
    Height: 255 mm
    Thickness: 20 mm
    Weight: 599 g
    Language
    English
    ISBN
    ISBN 13: 9780521801669
    ISBN 10: 0521801664
    Classifications

    BIC E4L: BUS
    B&T Book Type: NF
    Nielsen BookScan Product Class 3: S4.3
    B&T Modifier: Region of Publication: 03
    BIC subject category V2: KJMV7
    B&T Modifier: Subject Development: 10
    BIC subject category V2: PB
    B&T General Subject: 180
    Ingram Subject Code: BE
    Warengruppen-Systematik des deutschen Buchhandels: 16200
    Libri: I-BE
    B&T Modifier: Academic Level: 02
    B&T Modifier: Text Format: 06
    BISAC V2.8: BUS002000, BUS069000
    BIC subject category V2: KCHS, KJSM
    DC21: 658.83
    B&T Merchandise Category: UP
    BIC subject category V2: KCH, GPH
    BISAC V2.8: BUS021000, BUS041000, BUS043060
    DC22: 658.83015118, 658.8/3/015118
    LC subject heading: ,
    LC classification: HF5415.2 .F714 2001
    LC subject heading:
    Thema V1.0: PB, KCH, KJSM, GPH
    Illustrations note
    25 tables
    Publisher
    CAMBRIDGE UNIVERSITY PRESS
    Imprint name
    CAMBRIDGE UNIVERSITY PRESS
    Publication date
    27 August 2001
    Publication City/Country
    Cambridge
    Author Information
    Philip Hans Franses is Professor of Applied Econometrics affiliated with the Econometric Institute and Professor of Marketing Research affiliated with the Department of Marketing and Organization, both at the Erasmus University Rotterdam. He holds a PhD (1991) from the same university. His research interests cover applied econometrics, time series analysis, empirical finance, marketing research and political science. He has published on these topics in international journals and in various books, including 'Time series models for business and economic forecasting', and as co-author with Dick van Dijk of 'Nonlinear time series models in empirical finance' (both with Cambridge University Press). Richard Paap is Postdoctoral Researcher with the Rotterdam Institute for Business Economic Studies, at the Erasmus University Rotterdam. He obtained his PhD in 1997 from the same university. His research interests cover applied (macro-)econometrics, Bayesian statistics, time series analysis, and marketing research. He has published on these topics in various international journals.
    Review quote
    Review of the hardback: 'The senior author is a well-known and highly respected applied econometrician working on marketing problems. Quantitative Models in Marketing Research reflects the authors' expertise and experience to provide concise coverage of an underused set of useful marketing tools. I recommend that marketing scientists have this book on their bookshelves.' Journal of Marketing Research
    Table of contents
    List of figures; List of tables; Preface; 1. Introduction and outline of the book; 2. Features of marketing research data; 3. A continuous dependent variable; 4. A binomial dependent variable; 5. An unordered multinomial dependent variable; 6. An ordered multinomial dependent variable; 7. A limited dependent variable; 8. A duration dependent variable; Appendix; Bibliography; Author index; Subject index.