Abstract
A certain technique for collecting and fixing the numerical parameters of market tendency dynamics is considered, being embedded in CRM methodology and aiming to involve sales managers in the process of collecting the marketing information. Based on application of α-stable models, an original algorithm for automatic processing and evaluating the information relevance of the derived estimates is utilized. An example implementing the suggested methodology using MS CRM 3.0 software package is provided.
Similar content being viewed by others
References
Zadeh, L., Toward a Generalized Theory of Uncertainty (GTU): An Outline, Inform. Sci., 2005, vol. 172,issue 1–2, pp. 1–40.
Zadeh, L., From Search Engines to Question-Answering Systems—The Role of Fuzzy Logic, Progress in Informatics, 2005, no. 1, pp. 1–3.
Matsievskii, S.V., Nechetkie mnozhestva: Uchebnoe posobie (Fuzzy Sets: A Handbook), Kaliningrad: Kaliningrad. State Univ., 2004.
Zolotarev, V.M., One-Dimensional Stable Distributions, Providence: American Mathematical Society, 1980.
Koutrouvelis, I.A., Regression-Type Estimation of the Parameters of Stable Laws, J. Am. Statist. Assoc., 1980, no. 75.
Mittnik, S., Doganoglu, T., and Chenyao, D., Computing the Probability Density Function of the Stable Paretian Distribution, Math. Computer Modelling, 1999, no. 29.
Borak, Sz., Hardle, W., and Weron, R., Stable Distributions, in Statistical Tools for Finance and Insurance, Cizek, P., Hardle, W., and Weron R., Eds., New York: Springer, 1980.
Pugachev, V.S., Vvedenie v teoriyu veroyatnostei (Introduction to Probability Theory), Moscow: Nauka, 1968.
Author information
Authors and Affiliations
Additional information
Original Russian Text © A.V. Timofeev, 2008, published in Avtomatizatsiya v Promyshlennosti, 2008, No. 7, pp. 3–6.
Rights and permissions
About this article
Cite this article
Timofeev, A.V. Generalized CMR technology as a natural source of objective marketing information. Autom Remote Control 71, 1999–2004 (2010). https://doi.org/10.1134/S0005117910090237
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117910090237