Scientific Journal of KubSAU

The article analyzes the achievements of Russian psychologists who study the phenomenon of leadership. We have considered the main areas of research of leadership in modern Russian social psychology. The current trends in the study of leadership have been revealed

The article deals with the question of tillage with a turnover of reservoir devices for its implementation. We have also identified problems that exist in this process step. The ways of their solutions and their implementation have been proposed as well

The mathematical theory of classification contains a large number of approaches, models, methods, algorithms. This theory is very diverse. We distinguish three basic results in it - the best method of diagnosis (discriminant analysis), an adequate indicator of the quality of discriminant analysis algorithm, the statement about stopping after a finite number of steps iterative algorithms of cluster analysis. Namely, on the basis of Neyman - Pearson Lemma we have shown that the optimal method of diagnosis exists and can be expressed through probability densities corresponding to the classes. If the densities are unknown, one should use non-parametric estimators of training samples. Often, we use the quality indicator of diagnostic algorithm as "the probability (or share) the correct classification (diagnosis)" - the more the figure is the better algorithm is. It is shown that widespread use of this indicator is unreasonable, and we have offered the other - "predictive power", obtained by the conversion in the model of linear discriminant analysis. A stop after a finite number of steps of iterative algorithms of cluster analysis method is demonstrated by the example of k-means. In our opinion, these results are fundamental to the theory of classification and every specialist should be familiar with them for developing and applying the theory of classification

There is a need to clean up the classification methods. This will increase their role in solving applied problems, in particular, in the diagnosis of materials. For this, first of all, it is necessary to develop requirements that classification methods must satisfy. The initial formulation of such requirements is the main content of this work. Mathematical classification methods are considered as part of the applied statistics methods. The natural requirements to the considered methods of data analysis and the presentation of calculation results arising from the achievements and ideas accumulated by the national probabilistic and statistical scientific school are discussed. Concrete recommendations are given on a number of issues, as well as criticism of individual errors. In particular, data analysis methods must be invariant with respect to the permissible transformations of the scales in which the data are measured, i.e. methods should be adequate in the sense of measurement theory. The basis of a specific statistical method of data analysis is always one or another probabilistic model. It should be clearly described, its premises justified - either from theoretical considerations, or experimentally. Data processing methods intended for use in real-world problems should be investigated for stability with respect to the tolerances of the initial data and model premises. The accuracy of the solutions given by the method used should be indicated. When publishing the results of statistical analysis of real data, it is necessary to indicate their accuracy (confidence intervals). As an estimate of the predictive power of the classification algorithm, it is recommended to use predictive power instead of the proportion of correct forecasts. Mathematical research methods are divided into "exploratory analysis" and "evidence-based statistics." Specific requirements for data processing methods arise in connection with their "docking" during sequential execution. The article discusses limits of applicability of probabilistic-statistical methods. Concrete statements of classification problems and typical errors when applying various methods for solving them are also considered

The article analyses the existing legal mechanism of limitation of distribution of information in the Internet and the variants of development of law-making in this sphere. The conclusions made by the author might be used in scientific activity

In the article we have considered the basic idea of asymptotic mathematical statistics of interval data, in which the elements of a sample are not the numbers, but the intervals. Algorithms and conclusions of interval data statistics fundamentally different from the classical ones. The results related to the basic concepts of notna and rational sample sizes are listed. Interval data statistics as an integral part of the system of fuzzy interval mathematics is shown

This article gives recommendations of perfection of management of the external debt of Russia. The interrelation between size, dynamics and structure of the external debt of the Russian Federation and their influence on GDP of Russia is certain. It has been suggested to consider a parity of export and import, the size of the commodity credit, provided to the countries to creditors at definition of size of the external debt of the Russian Federation. Parameters of debt stability of the Russian Federation are considered based on data of the state statistical and budgetary reporting, statistical bank information’s of Russia, the Ministry of Finance of Russia, other information regarding an external duty of the Russian Federation

The article analyses the existing legal mechanism of limitation of distribution of information in the Internet and variants of development of law-making in this sphere. The conclusions made by the author can be used in scientific activity

Processes of heat-mass exchange the thermo chemical processed wood, as object for modeling technology of convectional dryings of difficultly drying breeds of wood are considered

In this article, we have given a short review of scientific bases of designing of blocks and module cars and some perspective works for opening new possibilities of increasing the efficiency of technologies of intensive mountain and foothill gardening