Open Journal of Statistics, 2014, 4, 736-741 Published Online October 2014 in SciRes. http://www.scirp.org/journal/ojs http://dx.doi.org/10.4236/ojs.2014.49068 How to cite this paper: Glinskiy, V.V., Serga, L.K., Chemezova, E.Yu. and Zaykov, K.A. (2014) Statistical Tools for Estimation of Threshold Values at Data Classification Task Solution. Open Journal of Statistics, 4, 736-741. http://dx.doi.org/10.4236/ojs.2014.49068 Statistical Tools for Estimation of Threshold Values at Data Classification Task Solution V. V. Glinskiy, L. K. Serga, E. Yu. Chemezova, K. A. Zaykov Department of Statistics, Novosibirsk State University of Economics and Management, Novosibirsk, Russian Federation Email: s444@ngs.ru Received 25 July 2014; revised 26 August 2014; accepted 10 September 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract The paper contains a summary of some results of original research total aggregates. The main idea is determining the boundaries of the groups for classification of fuzzy and threshold aggregates using the method of decomposing a mixture of probability distributions. The article presents the experience of partitions of a real aggregate as a finite mixture of probability distributions on pri- vate aggregates. Threshold value defined by the boundaries of private aggregates, will match the value of the phenomenon at the intersection of the curves of probability distributions, which ex- tracted from the mixture. The proposed scheme of identification threshold aggregates has found practical application in the research of aggregate of Russian employees by level of payroll and es- tablishing the optimal minimum value monthly wage. The official data of the Federal State Statis- tics Service were used. Keywords Classification, Threshold Aggregate, Mixture of Probability Distributions 1. Introduction Issues of statistical investigation of aggregate instability (variability, uncertainty of composition, inconstancy of structure) remained out of focused attention of specialists until recently. Various classifications of aggregates, used in the statistical theory, do not meet the modern requirements completely or make it possible to solve the whole variety of statistical tasks in conditions of increasing turbulence. It defined the necessity for investigation of additional classificatory sections of real aggregates, such as dynamic and threshold (see more detailed data [1]-[5]). The threshold classificatory section considers the level of unambiguousness in determination of aggregate