Quantitative models in marketing research /

Quantitative models in marketing research /

Saved in:
Bibliographic Details
Author / Creator:Franses, Philip Hans, 1963-
Imprint:Cambridge ; New York : Cambridge University Press, 2001.
Description:1 online resource (xiii, 206 pages) : illustrations
Language:English
Subject:
Marketing research -- Mathematical models.
Marketing research -- Mathematical models.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11117283
Hidden Bibliographic Details
Other authors / contributors:Paap, Richard.
ISBN:0511013019
9780511013010
0511032374
9780511032370
0511119364
9780511119361
9780511753794
0511753799
9781280154843
1280154845
9786610154845
6610154848
9780521801669
0521801664
0511047649
9780511047640
Digital file characteristics:data file
Notes:Includes bibliographical references (pages 196-201) and index.
Print version record.
Summary:"Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables." "This book presents the most 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 latest methodological developments in the academic literature." "Pathways are offered in the book for students and practitioners with differing statistical and mathematical skill levels, although a basic knowledge of elementary numerical techniques is assumed."--Jacket.
Other form:Print version: Franses, Philip Hans, 1963- Quantitative models in marketing research. Cambridge ; New York : Cambridge University Press, 2001 0521801664

MARC

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100 1 |a Franses, Philip Hans,  |d 1963-  |0 http://id.loc.gov/authorities/names/n93030490 
245 1 0 |a Quantitative models in marketing research /  |c Philip Hans Franses and Richard Paap. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c 2001. 
300 |a 1 online resource (xiii, 206 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 196-201) and index. 
505 0 0 |t On marketing research --  |t Data --  |t Models --  |t Features of marketing research data --  |t Quantitative models --  |t Marketing performance measures --  |t A continuous variable --  |t A binomial variable --  |t An unordered multinomial variable --  |t An ordered multinomial variable --  |t A limited continuous variable --  |t A duration variable --  |t A continuous dependent variable --  |t The standard Linear Regression model --  |t Estimation --  |t Estimation by Ordinary Least Squares --  |t Estimation by Maximum Likelihood --  |t Diagnostics, model selection and forecasting --  |t Diagnostics --  |t Model selection --  |t Forecasting --  |t Modeling sales --  |t Advanced topics --  |t A binomial dependent variable --  |t Representation and interpretation --  |t Modeling a binomial dependent variable --  |t The Logit and Probit models --  |t Model interpretation --  |t Estimation --  |t The Logit model --  |t The Probit model --  |t Visualizing estimation results --  |t Diagnostics, model selection and forecasting --  |t Diagnostics --  |t Model selection --  |t Forecasting --  |t Modeling the choice between two brands --  |t Advanced topics --  |t Modeling unobserved heterogeneity --  |t Modeling dynamics --  |t Sample selection issues --  |t An unordered multinomial dependent variable --  |t Representation and interpretation --  |t The Multinomial and Conditional Logit models --  |t The Multinomial Probit model --  |t The Nested Logit model --  |t Estimation --  |t The Multinomial and Conditional Logit models --  |t The Multinomial Probit model --  |t The Nested Logit model --  |t Diagnostics, model selection and forecasting --  |t Diagnostics --  |t Model selection --  |t Forecasting. 
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588 0 |a Print version record. 
650 0 |a Marketing research  |x Mathematical models. 
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