|
This article is cited in 2 scientific papers (total in 2 papers)
Generalized non-parametric method: the law of demand in prognosis problems
V. A. Grebennikova, A. A. Shananinb a M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
b Moscow Institute of Physics and Technology
Abstract:
An approach to forecasting consumer demand based on generalized non-parametric method is developed. Necessary and sufficient conditions for trading statistics to be in a correspondence with the inverse function of demand, satisfying the Law of Demand were found. Warshall-Floyd algorithm verifies these conditions. This algorithm has polynomial complexity over the number of trading statistics points of time. Demand forecasting technique based on the analysis of trading statistics rationalization and the Law of Demand feasibility is suggested.
Received: 06.02.2007
Citation:
V. A. Grebennikov, A. A. Shananin, “Generalized non-parametric method: the law of demand in prognosis problems”, Matem. Mod., 20:9 (2008), 34–50; Math. Models Comput. Simul., 1:5 (2009), 591–604
Linking options:
https://www.mathnet.ru/eng/mm2681 https://www.mathnet.ru/eng/mm/v20/i9/p34
|
Statistics & downloads: |
Abstract page: | 747 | Full-text PDF : | 228 | References: | 79 | First page: | 22 |
|