name
Orlov Alexander Ivanovich
Scholastic degree
•
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Bauman Moscow State Technical University
Research interests
статистические методы, организационно-экономическое моделирование. Разработал новую область прикладной статистики — статистику объектов нечисловой природы
Web site url
—
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 155
Сформировать список работ, опубликованных в Научном журнале КубГАУ
-
ORGANIZATIONAL-ECONOMIC SUPPORT OF INNOVATION
DescriptionIn the article we have analyzed the way of scientific and technical ideas creation to mass production. Particular attention is paid to the organization of commercialization of innovative projects using modern information technologies, especially Internet auctions. To adequately describe the actual processes, we have highlighted 13 stages in the development of the innovative project and put into consideration the diversity of its trajectories. We have also identified the need for specialized structures (innovation centers), providing organizational-economic support to innovative projects, especially in the organization of expert estimates, conducting market research, developing business plans
-
KEY STAGES OF STATISTICAL METHODS DEVELOPMENT
01.00.00 Physical-mathematical sciences
DescriptionThe first statistical publication – the Fourth Book of Moses, “Numbers” in the Old Testament. We trace the development of ideas about the statistics until the twentieth century. The present stage of statistical methods began with parametric statistics by Pearson, Student, Fisher. Scientometrics of statistical researches provides an indication of the accumulated results. Nonparametric statistics appeared in the 1930s, applied statistics in our country - at the turn of 1970-80. We have discussed what gives applied statistics to national economy. Also we have told briefly about the history of statistical methods in Russia (until Kolmogorov's time)
-
01.00.00 Physical-mathematical sciences
DescriptionLusian - dichotomous data model as a finite sequence of independent Bernoulli trials with, generally speaking, different probabilities of success. The tasks of statistical hypothesis testing, classification, averaging lusians are discussed. In accordance with the requirements of practice the problems are considered primarily in the asymptotic behavior of increasing dimension, in which the number of unknown parameters increases in proportion to the size of data. The method of testing hypotheses on set of small samples and the theory of unbiased statistical estimates were proved to be useful
-
PROBABILISTIC-STATISTICAL METHODS IN GNEDENKO’S RESEARCHES
01.00.00 Physical-mathematical sciences
DescriptionWe analyze the probabilistic-statistical 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
-
ABOUT THE METHODOLOGY OF STATISTICAL METHODS
01.00.00 Physical-mathematical sciences
DescriptionThe purpose of the article - to justify the need to develop the methodology of statistical methods as an independent scientific direction. The models of mathematician and applied specialist are presented. We have obtained the conclusions on teaching and research and discussed five major unsolved problems of statistical methods: the effect of deviations from the traditional prerequisites; use asymptotic results for finite sample sizes; selecting one of the many specific tests for the hypothesis; organization of theoretical work in the field of statistical methods; conduct applied research and teaching of statistical methods
-
MATHEMATICAL METHODS OF CLASSIFICATION THEORY
01.00.00 Physical-mathematical sciences
DescriptionThis article gives a review of mathematical methods of construction and using of classifications. The main approaches to solving the problems of cluster analysis and grouping are discussed. We have also proposed global and local natural classification criteria. The methods of discriminant analysis (diagnosis, pattern recognition with the teacher) are discussed in connection with the construction of generalized indicators (ratings)
-
DETECTION OF DEVIATIONS IN CONTROLLING SYSTEM (FOR EXAMPLE, MONITORING THE LEVEL OF FLIGHT SAFETY)
DescriptionControl charts are proposed to use as a tool to detect deviations in the controlling system. This proposal is considered for monitoring flight safety. Possibility of use in practice of airlines of a new indicator of flight safety level and a new method of its monitoring is discussed. As an indicator the ERC of ARMS group, and as a method of monthly and weekly monitoring – a method of the cumulative sums are offered
-
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 organizational-economic 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
-
MULTIFORMITY OF OBJECTS OF NON-NUMERICAL NATURE
01.00.00 Physical-mathematical sciences
DescriptionIn accordance with the new paradigm of mathematical statistics the statistics of objects of nonnumerical nature (statistics of nonnumerical objects, non-numerical data statistics, non-numeric statistics) is one of the four main areas of mathematical statistics. Statistics of objects of nonnumerical nature consists of a central core - statistics in spaces of arbitrary nature - and statistical theories of analysis of specific types of non-numeric data. To identify possibilities of application of statistics of objects of nonnumerical nature it is useful to explore the multiformity of objects of non-numeric nature. This is the subject of this article. We have considered the results of measurements at scales other than absolute; binary relations; dichotomous (binary) data; sets. We have also analyzed the objects of non-numerical nature as statistical data, and their importance in the formation of statistical or mathematical model of a real phenomenon, as a result of data analysis
-
ADDITIVE-MULTIPLICATIVE MODEL FOR RISK ESTIMATION IN THE PRODUCTION OF ROCKET AND SPACE TECHNICS
01.00.00 Physical-mathematical sciences
DescriptionFor the first time we have developed a general additive-multiplicative model of the risk estimation (to estimate the probabilities of risk events). In the two-level system in the lower level the risk estimates are combined additively, on the top – in a multiplicative way. Additive-multiplicative model was used for risk estimation for (1) implementation of innovative projects at universities (with external partners), (2) the production of new innovative products, (3) the projects for creation of rocket and space equipmen