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Mathematical models in marketing: a collection of abstracts

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 ar...

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Detalles Bibliográficos
Autor principal: Funke, Ursula H
Lenguaje:eng
Publicado: Springer 1976
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-51565-1
http://cds.cern.ch/record/2146589
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author Funke, Ursula H
author_facet Funke, Ursula H
author_sort Funke, Ursula H
collection CERN
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.
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spelling cern-21465892021-04-21T19:43:21Zdoi:10.1007/978-3-642-51565-1http://cds.cern.ch/record/2146589engFunke, Ursula HMathematical models in marketing: a collection of abstractsMathematical Physics and MathematicsMathematical 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.Springeroai:cds.cern.ch:21465891976
spellingShingle Mathematical Physics and Mathematics
Funke, Ursula H
Mathematical models in marketing: a collection of abstracts
title Mathematical models in marketing: a collection of abstracts
title_full Mathematical models in marketing: a collection of abstracts
title_fullStr Mathematical models in marketing: a collection of abstracts
title_full_unstemmed Mathematical models in marketing: a collection of abstracts
title_short Mathematical models in marketing: a collection of abstracts
title_sort mathematical models in marketing: a collection of abstracts
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-51565-1
http://cds.cern.ch/record/2146589
work_keys_str_mv AT funkeursulah mathematicalmodelsinmarketingacollectionofabstracts