name
Orlov Alexander Ivanovich
Scholastic degree
•
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Bauman Moscow State Technical University
Research interests
статистические методы, организационноэкономическое моделирование. Разработал новую область прикладной статистики — статистику объектов нечисловой природы
Web site url
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Current rating (overall rating of articles)
0
TOP5 coauthors
Articles count: 145
Сформировать список работ, опубликованных в Научном журнале КубГАУ

PROBABILISTICSTATISTICAL METHODS IN KOLMOGOROV’S RESEARCHES
01.00.00 Physicalmathematical sciences
DescriptionFrom a modern point of view we have discussed Kolmogorov’s researches in the axiomatic approach to probability theory, the goodnessoffit test of the empirical distribution with theoretical, properties of the median estimates as a distribution center, the effect of "swelling" of the correlation coefficient, the theory of averages, the statistical theory of crystallization of metals, the least squares method, the properties of sums of a random number of random variables, statistical control, unbiased estimates, axiomatic conclusion of logarithmic normal distribution in crushing, the methods of detecting differences in the weathertype experiments

SOLIDARY INFORMATION ECONOMY AS THE ECONOMIC COMPONENT OF THE STATE IDEOLOGY OF RUSSIA
DescriptionAs the economic component of state ideology of Russia we offer a solidary information economy. We have analyzed its main ideas and justified its use as a basic organizationaleconomic theory instead of “economics”. According to the solidary information economy the modern information technology and decision theory allow, based on the “open network society”, to build information and communication system designed to identify the needs of people and the organization of production in order to meet them

STATISTICAL ESTIMATION FOR THE GROUPED DATA
01.00.00 Physicalmathematical sciences
DescriptionThe probabilistic model of grouping data (including multidimensional data) is described. We have also generalized EulerMaclaurin’s formulas. With its help Sheppard’s corrections and corrections on grouping for correlation coefficient are received. We have found and studied asymptotical corrections on grouping data generally. Accuracy of approach has been estimated

PREDICTIVE POWER – THE BEST INDICATOR OF THE QUALITY OF THE DIAGNOSTIC ALGORITHM
01.00.00 Physicalmathematical sciences
DescriptionInexpediency of use of probability of correct diagnostics as a quality indicator of diagnostic algorithm is shown. The new indicator  the prognostic strength based on Mahalanobis distance between classes is offered and studied. We have found asymptotic distribution of the prognostic strength; the way of testing of adequacy of its application has been specified. In a problem of testing of two simple hypotheses the prognostic strength connection is established with Hellinger distance

ESTIMATES OF PROBABILITY DENSITY FUNCTION IN SPACES OF ARBITRARY NATURE
01.00.00 Physicalmathematical sciences
DescriptionLinear estimators of the probability of density in the spaces of an arbitrary nature and particular cases – nuclear, histogram, the FixHodges type estimates are introduced. Consistency and asymptotic normality of linear estimates are proved under natural conditions. It is shown that the probability of the area can be found by linear density estimates. A special case of a finite set are discussed, it was found that sample mode converges to the theoretical one

NEW AREA OF CONTROLLING –CONTROLLING OF ORGANIZATIONALECONOMIC METHODS
DescriptionWe introduce the concept of "controlling organizationaleconomic methods". We define the terms in the sequence "the problem  the model  the method  the conditions of applicability". We have described the basic organizationaleconomic model of industrial firm; by means of this model we have discussed the problems of development of modern organizationaleconomic methods. We have demonstrated the relevance of the theory and methodology of organizationaleconomic modeling. For example, we consider the application of statistical methods at various stages of the life cycle of the product, the problem of internal risks in an industrial firm and accounting for inflation in the analysis of activities of the organization

Description
For strategic and operational management tasks in the aerospace industry we use a variety of organizationaleconomic models and methods. Their set is called an organizationaleconomic support. In this article we discuss the approaches to the development of adequate organizationaleconomic support in the aerospace industry. In particular, we consider the problems of estimation of the effectiveness and management of innovationinvestment projects to create aviation and space technology

Description
The requirements for the project design stages of creating rocket and space technology are specified. The algorithm of estimation the feasibility of such projects is proposed based on their innovation and investment components

A NEW APPROACH TO THE STUDY OF THE STABILITY OF CONCLUSIONS IN THE MATHEMATICAL MODELS
01.00.00 Physicalmathematical sciences
DescriptionWe have proposed the general scheme for studying the stability of the conclusions obtained by mathematical methods and models regarding tolerance deviations of the original data and background models. The concrete problems of stability are discussed: towards a change of data, its size and distributions, to allowable transformations measurement scales, to the temporal characteristics (time of start of the project, the planning horizon). Reducing the uncertainty can be conducted by changing the type of data, i.e. with the aid of the transition to nonnumerical data. The models of concrete management processes of industrial organizations are considered on the examples of stability characteristics of investment projects to change the discount factors and in models of inventory management to change in the coefficients of the model and batch size production

PROBABILISTICSTATISTICAL METHODS IN GNEDENKO’S RESEARCHES
01.00.00 Physicalmathematical sciences
DescriptionWe analyze the probabilisticstatistical methods in the researches of Boris Vladimirovich Gnedenko – the academician of Ukrainian Academy of Science, which are very important for the XXI century. We have also discussed the limit theorems of probability theory, mathematical statistics, reliability theory, statistical methods of quality control and queuing theory. We give some information about the main stages of scientific career of B.V. Gnedenko, his views on the history of mathematics and teaching