Titlebook: Building Implementable Marketing Models; Philippe A. Naert,Peter S. H. Leeflang Book 1978 Springer Science+Business Media Dordrecht 1978 a

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978-90-207-0674-1Springer Science+Business Media Dordrecht 1978

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Ordinary Differential Equationsh a model structure should satisfy in order to stand a good chance of being implemented. The likelihood of model acceptance depends also, as was indicated in Chapter 4, on a number of other criteria which have little or nothing to do with model structure. These will be analysed in Chapter 13.

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https://doi.org/10.1007/978-3-540-44697-2.. As was indicated there, such a classification may be useful because model specification — both in terms of variables and mathematical form — will show some distinctive features relative to each of thesethree categories.

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https://doi.org/10.1007/978-3-540-44697-2rt. This step is called validation, or also verification or evaluation. Validation or validity has different meanings in different sciences. Faivre and Sanchez (1975), for example, present abrief survey of its meanings in philosophy, behavioural science, economics, operations research and management

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Introduction

https://doi.org/10.1007/978-3-540-44697-2ed whether or not to go ahead with a model building project. That is, the project has been, or should have been, evaluated on a cost-benefit basis and the expected benefits sufficiently exceeded the expected costs, a justification for going ahead with the project. Of course some companies might deci

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Vector Transformation and Cartesian Tensorsumber of ways of representing these elements, the differentiating dimension being the ‘degree of explicitness’. As such, we distinguish implicit models, verbal models, formalized models, and numerically specified models. The different methods of representing systems will be illustrated with an example.