Mathematical Models and Methods in Marketing PDF Download
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Author: Frank Myron Bass
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 568
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Book Description
Author: Frank Myron Bass
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 568
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Book Description
Author: Ursula H. Funke
Publisher: Springer Science & Business Media
ISBN: 3642515657
Category : Mathematics
Languages : en
Pages : 534
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Book Description
Mathematical models can be classified in a number of ways, e.g., static and dynamic; deterministic and stochastic; linear and nonlinear; individual and aggregate; descriptive, predictive, and normative; according to the mathematical technique applied or according to the problem area in which they are used. In marketing, the level of sophistication of the mathe matical models varies considerably, so that a nurnber of models will be meaningful to a marketing specialist without an extensive mathematical background. To make it easier for the nontechnical user we have chosen to classify the models included in this collection according to the major marketing problem areas in which they are applied. Since the emphasis lies on mathematical models, we shall not as a rule present statistical models, flow chart models, computer models, or the empirical testing aspects of these theories. We have also excluded competitive bidding, inventory and transportation models since these areas do not form the core of ·the marketing field.
Author: Philip Kotler
Publisher:
ISBN:
Category :
Languages : en
Pages : 18
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Book Description
Author: Theodor Harder
Publisher: CRC Press
ISBN: 9780677618203
Category : Business & Economics
Languages : en
Pages : 364
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Book Description
Author: Robert Dow Buzzell
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 312
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Book Description
Study on the value of simulation in operational research in respect of marketing management - covers the use and limitations of mathematical models in publicity, price-setting, market demand, etc., and includes administrative aspects and decision making. References and diagrams.
Author: Robert G. Murdick
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 312
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Book Description
Author: Charles A. Ingene
Publisher: Springer Science & Business Media
ISBN: 0387227903
Category : Business & Economics
Languages : en
Pages : 590
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Book Description
Mathematical Models of Distribution Channels identifies eight "Channel Myths" that characterize almost all analytical research on distribution channels. The authors prove that models that incorporate one or more Channel Myths generate distorted conclusions; they also develop a methodology that will enable researchers to avoid falling under the influence of any Channel Myth.
Author: Frank Myron Bass
Publisher:
ISBN: 9781258260002
Category :
Languages : en
Pages : 556
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Book Description
Contributing Authors Include Robert S. Weinberg, Paul Stillson, E. Leonard Arnoff, And Many Others.
Author: Patrick J. Robinson
Publisher:
ISBN:
Category : Sales promotion
Languages : en
Pages : 360
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Book Description
Author: Luiz Moutinho
Publisher: World Scientific
ISBN: 9814407712
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.
