Advances 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.
In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.The first edition of 'Quantitative Modelling in Marketing and ...
This is indicated by the growing number of model- and method-oriented studies published in leading journals as well as by the many successful applications of quantitative approaches in pricing, advertising, new product planning, and market ...
Direct questioning is not only relevant for research purposes, but also for amusement and human exploration. One early inspirational example is the Proust Questionnaire, famously proposed to Marcel Proust by Antoinette Faure, ...
Bayesian statistics and marketing. New York: Wiley. Rossini, A., Heiberger, R., Hornik, K., Maechler, M., Sparapani, R., Eglen, S., et al. (2013). ESS – Emacs speaks statistics (13th ed.). Noida: The ESS Developers. Rouder, J. N., Morey ...
Inoue, A., 73, 75, 218, 220 Ives, B., 413 Jacobson, R., 52, 66, 117, 158, 314-15, 349, 390 Jagpal.H., 103, 115 Jain, A., 221 Jain, D., 207, 208, 211,339, 344-45 James, W., 221 Jansen, D., 137 Jarvenpaa, S., 413 Jedidi, K., 69, 169,322, ...
Cooper and Nakanishi (1988, pp. 24-26) discuss these and other axioms in more detail. See also Barnett (1976). 28. This is discussed in more detail in Chapter 14. 29. The MCI models have been developed by Nakanishi (1972) and ...
This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present.
This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas.
I enjoyed reading this book and recommend it highly. This book will be of particular interest to advanced students, academics, and practitioners.
Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.