This book presents the most important and practically relevant quantitative models for marketing research. Each model includes a demonstration of the mechanics of the model, empirical analysis, real world examples, and an interpretation of results and findings. The reader will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature. Students and practitioners with differing numerical skills are guided through the book, although a knowledge of elementary numerical techniques is assumed.
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Editorial Reviews
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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
Book Description
This book presents the most important and practically relevant quantitative models for marketing research. Each model includes a demonstration of the mechanics of the model, empirical analysis, real world examples, and an interpretation of results and findings. The reader will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature. Students and practitioners with differing numerical skills are guided through the book, although a knowledge of elementary numerical techniques is assumed.
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Most Helpful Customer Reviews
9 of 9 people found the following review helpful:
3.0 out of 5 stars
Logits circa 1990,
This review is from: Quantitative Models in Marketing Research (Hardcover)
I would have appreciated the (very solid) book more if Maddala hadn't published a book about limited-dependent-variable models back in 1983, and there'd been no progress in the field since then. It's 2006, and the book feels outdated and narrow in scope as an econometrics text. Oh, and it's just that: invoking marketing research in the title looks like a sales gimmick to me.
0 of 1 people found the following review helpful:
5.0 out of 5 stars
Maria,
By Maria Luisa (EAGLE PASS, TEXAS, US) - See all my reviews
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This review is from: Quantitative Models in Marketing Research (Paperback)
This is a great book for understanding how the world of Marketing research and data analisis work. It helped me understand how to play with the information available in order to get a good analisis.
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Inside This Book
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First Sentence:
Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of many actual transactions and purchases, that is, revealed preference data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multinomial dependent variable, ordered regression model, probability that the spell, binomial dependent variable, interpurchase times, estimation coef, previous purchase occasion, duration dependent variable, multinomial choice models, integrated baseline hazard, advanced topics section, expected donation, integrated hazard function, hazard specification, multinomial variable, promotion variables, marketing research data, revealed preference data, generalized residuals, standard regression model, donated amount, previous mailing, logit model, single explanatory variable, purchase timing Key Phrases - Capitalized Phrases (CAPs): (learn more)
Conditional Logit, Nested Logit, Accelerated Lifetime, Ordered Logit, Multinomial Logit, Censored Regression, Truncated Regression, Ordered Probit, Multinomial Probit, Newton Raphson, Standard Parameter, The White, Variables Parameter Standard New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of many actual transactions and purchases, that is, revealed preference data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multinomial dependent variable, ordered regression model, probability that the spell, binomial dependent variable, interpurchase times, estimation coef, previous purchase occasion, duration dependent variable, multinomial choice models, integrated baseline hazard, advanced topics section, expected donation, integrated hazard function, hazard specification, multinomial variable, promotion variables, marketing research data, revealed preference data, generalized residuals, standard regression model, donated amount, previous mailing, logit model, single explanatory variable, purchase timing Key Phrases - Capitalized Phrases (CAPs): (learn more)
Conditional Logit, Nested Logit, Accelerated Lifetime, Ordered Logit, Multinomial Logit, Censored Regression, Truncated Regression, Ordered Probit, Multinomial Probit, Newton Raphson, Standard Parameter, The White, Variables Parameter Standard New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 27
books:
See all 27 books this book cites
5
books
cite this book:
- Marketing Research by Donald R. Lehmann on page 1, Back Matter (1), and Back Matter (2)
- Marketing Research: An Applied Orientation with SPSS (4th Edition) by Naresh Malhotra in Front Matter, and Back Matter
- Marketing Research w/ Student DVD by Donald Cooper in Back Matter (1), and Back Matter (2)
- Marketing Research: Applications and Problems by Arun K. Jain in Back Matter (1), and Back Matter (2)
- Econometric Theory (Wiley publications in applied statistics) by Arthur S. Goldberger in Back Matter
See all 27 books this book cites
- From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., ... Data Analysis, and Knowledge Organization) by Myra Spiliopoulou on page 573
- Logit Models from Economics and Other Fields by J. S. Cramer in Back Matter
- Econometric Methods with Applications in Business and Economics by Christiaan Heij on page 524
- Neural Networks in Business Forecasting by G. Peter Zhang on page 43
- A Concise Introduction to Econometrics: An Intuitive Guide by Philip Hans Franses in Back Matter
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