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المؤلفAouni, Belaid
المؤلفColapinto, Cinzia
المؤلفTorre, Davide La
تاريخ الإتاحة2023-12-28T10:30:51Z
تاريخ النشر2015-01-01
اسم المنشورInternational Journal of Multicriteria Decision Making
المعرّفhttp://dx.doi.org/10.1504/IJMCDM.2015.071251
الاقتباسAouni, B., Colapinto, C., & Torre, D. L. (2015). Parameter estimation through the weighted goal programming model. International Journal of Multicriteria Decision Making, 5(3), 263-273.‏
الرقم المعياري الدولي للكتاب2040106X
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84940529269&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/50664
الملخصMany models in economics, management and finance can be described in terms of nonlinear dynamical systems which usually depend on some unknown parameters. To conduct a long-run behaviour analysis of these models it is of paramount importance to establish efficient and accurate parameter estimation techniques. Today many sophisticated nonlinear model estimation, selection and testing approaches are available and reliable. However, when the nonlinear dynamical systems take the form of differential equations, many of them fail and it is required to use more advanced techniques. The aim of this paper is to present a weighted goal programming formulation for estimating the unknown parameters of dynamical models described in terms of differential equations. The method is illustrated through two different applications to population dynamics (Malthus model) and innovation diffusion (Bass model).
اللغةen
الناشرInderscience Publishers
الموضوعBass model
Malthus model
Parameter estimation
Weighted goal programming model
العنوانParameter estimation through the weighted goal programming model
النوعArticle
الصفحات263-273
رقم العدد3
رقم المجلد5
dc.accessType Abstract Only


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