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Marketing --- Marketing research --- Mathematical models --- Modèles mathématiques --- Mathematical models. --- Modèles mathématiques --- Marketing - Mathematical models --- Marketing research - Mathematical models

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The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on

Marketing research --- Marketing --- Bayesian statistical decision theory. --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Business mathematics --- Market research --- Markets --- Research --- Research, Industrial --- Mathematical models. --- Bayesian statistical decision theory --- Mathematical models --- Mathematical statistics --- Marketing research - Mathematical models --- Marketing - Mathematical models

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Remarkable advance in quantitative marketing research in the last two decades, incorporating applied microeconomic theories, operations research and management applications, has brought the field of marketing alongside with finance, accounting and productionto within an executive'sreach for a sophisticatedtoolbox for decision­ making in an increasingly competitive and complex business environment. A quick look at Marketing, a recently published book edited by Eliashberg and Lilien would indicate even to the casual reader the extent of such methodological progress made by marketing scholars. Even in such an impressive and nearly exhaustive collection oftopics, with the notable exception pointed out by the editors of applicationsofthe scanner data, and in spite of the reference to it, an important omission is related to the issues ofmarketing decisions under conditions ofuncertainty. It is fairly obvious to the marketing executive and academician alike to recognize the important role uncertaintyplays in marketingdecisions such as pricing, promotion, advertising, sales force management, and others. The major purpose of this study is to address certain major marketing decision variables within the general context of an uncertain environment. While there have been significant progresses in analyzing marketing behaviors in a stochastic environment,the sourcesscatteramong differentmanagementandmarketingjoumals; and to the extent that these issues are addressed at all, they have aimed mainly at each separate, specifictopic at a time. Thus, our effort to bring these studies together in the same framework should facilitate our in-depth analysis of these important phenomena.

Marketing --- Marketing research --- Uncertainty --- Decision making. --- Decision making --- Mathematical models. --- 658.8 --- 658.8.01 --- 658.81 --- Marketing. Sales. Selling. Distribution --- Marketing. Sales. Selling. Distribution--?.01 --- Sales organization --- 658.81 Sales organization --- 658.8.01 Marketing. Sales. Selling. Distribution--?.01 --- 658.8 Marketing. Sales. Selling. Distribution --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Decision-making in marketing --- Market research --- Markets --- Research --- Research, Industrial --- Mathematical models --- Decision making&delete& --- Business. --- Management science. --- Marketing. --- Microeconomics. --- Management. --- Business and Management, general. --- Administration --- Industrial relations --- Organization --- Price theory --- Economics --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Trade --- Commerce --- Marketing research. --- Marketing - Decision making. --- Marketing - Decision making - Mathematical models. --- Marketing research - Mathematical models. --- Uncertainty - Mathematical models.