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
—
Current rating (overall rating of articles)
0
TOP5 coauthors
Articles count: 137
Сформировать список работ, опубликованных в Научном журнале КубГАУ

01.00.00 Physicalmathematical sciences
DescriptionIn the USSR higher attestation Commission from 1975 to the collapse of the USSR was subordinated not to the Ministry of education and science, but to the Council of Ministers of the USSR directly. However, since then there is a steady trend of gradual reduction of the status of the Commission. Today it is not just included in the Ministry of education, it is just one of the units of one of its structures: the Rosobrnadzor. Reduced status of the HAC inevitably leads to a decline in the status and in the adequacy of scientific degrees assigned as well as scientific ranks. This process of devaluation of traditional academic degrees and titles assigned to the HAC, has reached the point when a few years ago there were abolished salary increments for them. Now, instead of that, every university and research institutes have developed their local, i.e. noncomparable with each other scientometric methods of evaluation of the results of scientific and teaching activities. Despite the diversity of these techniques, there is a common thing among all of them, which is the disproportionate role of the hindex. The value of the Hirsch index starts to play an important role in the protection, when considering competitive cases for positions, as well as in determining the monthly rewards for the results of scientific and teaching activities. By itself, this index is well founded, theoretically. However, in connection with the practice of its application in our conditions, in the collective consciousness of the scientific community there was a kind of mania, which the authors call the "Hirschmania". This mania is characterized by elevated unhealthy interest to the value of the Hirsch index, as well as incorrect manipulation of its value, i.e. inadequate artificial exaggeration of this value, as well as a number of negative consequences of that interest. In this study we have made an attempt to construct a quantitative measure for assessing the extent of improper manipulation of the value of the Hirsch index, and offered a sciencebased modification of the hindex, insensitive (resistant) to the manipulation. The article presents a technique for all the numerical calculations, which is simple enough for any author to use

COMPUTERSTATISTICAL METHODS: STATE AND PROSPECTS
01.00.00 Physicalmathematical sciences
DescriptionWe have analyzed the current state of the main computerstatistical methods, identified achievements and existing problems, outlined the prospects of further movement and formulated the problems to be solved. We have also discussed the Monte Carlo methods, pseudorandom numbers, simulation, bootstrap and resampling, the automated systemcognitive analysis. We have considered the applications of computer statistics in controlling and properties of statistical packages as the tools for researchers

CONTROLLING OF CONSUMER PRICES DYNAMICS AND LIVING WAGE
DescriptionIn accordance with the Presidential Decree of 21 August 2012 № 1199 one of the 11 integrated indicators of the activity of executive authorities is the measure "real disposable income of the population". For its calculation it is necessary to measure the level of consumer prices. The article presents the minimum consumer basket of physiologically essential food products, designed in 1993 by the Institute of High Statistical Technologies and Econometrics (IHSTE) based on the initial data of the Institute of Nutrition of the Russian Academy of Medical Sciences, and the results of measuring the cost of the consumer basket IHSTE and inflation index in 24 years (1993  2017). We discuss the application of the developed tools in Controlling of the level of consumer prices and living wage. According to M. Orshansky, living wage can be estimated by multiplying the cost of the minimum food basket by a factor which is equal to the quotient of all costs to the costs of food costs for a poor family. This work is aimed at the elimination of the monopoly of Rosstat in the calculation of indices of inflation, the living wage and the real disposable income of the population. The methods of the measurement and the use of inflation constitute an important part of training courses in econometrics, which are taught in the context of the scientificeducational complex "Engineering Business and Management" of the Baumann Moscow State Technical University. Nobel Laureate in Economics Vasiliy Leontiev thought that only 1% of economists analyze the newly collected data, 30% use the data contained in the publications of predecessors, and the rest did not turn in their arguments to the real world. This work belongs to the 1% of publications (which analyzes the newly collected data), about which Vasiliy Leontiev wrote

MATHEMATICAL THEORY OF RATINGS
01.00.00 Physicalmathematical sciences
DescriptionWhen developing management solutions with the aim of joint consideration and comparison of various factors, partial removal of uncertainty is widely used ratings. In the theory of decisionmaking in almost the same sense, we use the terms "composite index" or "integrated indicator". The article is devoted to the mathematical theory of ratings as tools for studying socioeconomic systems. We considered, primarily, linear ratings which is a linear function from a single (private) indicators (factors, criteria), constructed using the coefficients of importance (weightiness, importance). The study discusses the factors affecting the magnitude of the ratings. Three groups of causes affect the value of a line ranking: the ways of measurement of individual indicators, the choice of the set of indicators; the values of the coefficients of importance. We considered binary ratings when the rating takes two values. To compare the proposed rankings we use a new indicator of the quality of diagnostics and prognostic power. Significantly, in many managerial situations, significant differences between objects are identified using any rating. According to the fundamental results of stability theory, the same source data should be processed in several ways. Matching findings, obtained using multiple methods, likely reflect the properties of reality. The difference is the result of a subjective selection method. When using the results of the comparison of objects according to several indicators (criteria ratings), including in dynamics, very useful is the selection of the Pareto set. We discuss the examples of the application of the decision theory, expert evaluations and rankings when developing complex technical systems

MATHEMATICAL METHODS IN SOCIOLOGY DURING THE LAST FORTYFIVE YEARS
22.00.00 Sociological sciences
DescriptionSociology is one of the most important social sciences. Mathematical and primarily statistical methods are effective intellectual tools of sociologists. Let us analyze the work of the author of this article on the development of statistical methods to meet the challenges of sociology. Then we give the review of development of statistical methods in Russian sociology for 45 years (19702015). The basic scientific events of these years, first of all, were formation of applied statistics and its basis  statistics of the nonnumerical data (in sociology of 7090% of variables have nonnumerical nature). Over the last 30 years, the Russian sociology has been growing rapidly in all quantitative parameters. Clearly, the depth of investigation gives the use of advanced scientific apparatus  methodology and methods of data collection and analysis, mathematical models. In our view, a fundamental breakthrough was made in our country in the 1970s. It was then in the arsenal of Russian sociologists appeared measurement theory and fuzzy sets, mathematical methods of classification and multidimensional scaling, nonparametric statistics and statistics of nonnumeric data. In subsequent decades it has been a natural development of scientific apparatus. The same mathematical and statistical methods and models can be successfully applied in various fields of science and practice. Statistical methods and models are very effective in sociological, socioeconomic, managerial, technical and feasibility studies, medicine, history, in almost any industry and application areas of knowledge. Within this field, the main event of the last thirty five years  is becoming a scientific and practical discipline "Applied Statistics", dedicated to the development and application of statistical methods and models. An analysis of the dynamics of applied statistics leads to the conclusion that in the XXI century the statistics of nonnumerical data is becoming a central area of applied statistics, as it contains the most common approaches and results

MATHEMATICAL METHODS OF CLASSIFICATION THEORY
01.00.00 Physicalmathematical 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)

01.00.00 Physicalmathematical sciences
DescriptionWe have proposed the method for testing of independence of two alternative variables on the basis of statistics of nonnumeric data. The method is aimed at application in problems of statistical quality control. Testing of independence is based on set of small samples, i.e., in the Kolmogorov’s asymptotics, when the number of unknown parameters of the distribution increases in proportion to the data size

PRICING METHOD BASED ON THE ESTIMATION OF DEMAND FUNCTION
08.00.13 Mathematical and instrumental methods of Economics
DescriptionWhen solving some problems of economics and management at an enterprise, it becomes necessary to determine the retail price of a product or service at a known wholesale price or producer price. We offer to determine the retail price based on an analysis of a survey of potential consumers about the maximum possible price for the product or service in question. We calculate the retail price on the basis of optimizing the economic effect equal to the product of the result from the sale of one unit of goods by the demand function, which we estimate by interviewing consumers. To solve the optimization problem, we approximate the demand function using the least squares method. As examples, the linear and power models of the demand function are analyzed. Ways of further development of the proposed approach are discussed. Unresolved scientific problems are formulated. Methods for estimating the demand function in the context of a large number of repetitions of respondents and their tendency to “round numbers” require further elaboration, as a result of which the Kolmogorov criterion cannot be used to determine the accuracy of the restoration of the demand function. Various parametric and nonparametric approaches of regression analysis should be adapted to the problem of restoring the dependence of demand on price, as well as methods for solving the corresponding optimization problems

METHODOLOGY OF CONTROL PROCESSES MODELING IN SOCIOECONOMIC SYSTEMS
01.00.00 Physicalmathematical sciences
DescriptionThe article introduces the basic concepts of control theory. It has also noted the multicriteriality of real control problems. After reviewing the basic concepts of the theory of modeling we have analyzed postwar history and current status of mathematical modeling of control processes. We have also discussed the modeling methodology. As an example of a real model of the management process we have considered a model of allocation of time between the acquisition of knowledge and development of skills

PREDICTION METHODS FOR THE ROCKET AND SPACE INDUSTRY
01.00.00 Physicalmathematical sciences
DescriptionWe have allocated the basic sources of uncertainty in various industrial and economic situations. We have also considered the role and the tasks of forecasting in the management of industrial companies, particularly in the rocket and space industry. We have discussed the methods of organizational and economic forecasting  statistical, expert, combined, including foresight and given some suggestions for improving the forecasting and planning mechanisms for practical use when creating space systems