name
Popova Elena Vitalevna
Scholastic degree
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
Кафедра информационных систем
Заведующая кафедрой
Research interests
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Web site url
Current rating (overall rating of articles)
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TOP5 co-authors
Articles count: 17
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
In the article the forecasting model which is based on the theory of cellular automatic machines and mathematical apparatus of indistinct sets is presented. Its work on the real data of time number productivities of sugar beet in Mostovskoy area of Krasnodar territory is shown
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ANALYSIS OF BASIC HISTORICAL AND MODERN DEFINITIONS OF "RISK" CONCEPT
DescriptionIn this work, the comparative analysis of basic histori-cal and modern variations of definition of risks is pre-sented in general and from the point of enterprise ac-tivity. The gradual expansion of borders of concept of "risk" and its integral components in their direct inter-relation is investigated and eventually proved. Its modern concept is defined
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FORMATION AND DEVELOPMENT OF THE INDUSTRY OF SALE AND DELIVERY OF WATER IN RUSSIA
DescriptionThe article contains the study of peculiarities of formation and development of HOD market, the issues of interaction of its participants, the analysis of approaches to the management of the activity of enterprises of small and average business in the market of HOD
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TOURISM SEGMENTATION AS A CONDITION OF THE CONTEMPORARY MARKET OF TOURISM
DescriptionThe necessity to divide tourism to different parts has been stated in the article; we have also examined lots of tourism classifications and proposed the author’s segmentation of tourism according to nowadays tourism market condition
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SYSTEM APPROACH TO TOURISM DEFINITIONS AND ITS SOCIO-ECONOMIC MEANING IN THE MODERN SOCIETY
DescriptionIn the article we present the following terms: tourism, tourist destination, tourist flows. The article also analyses the prevailing approaches to how to learn and organize the industry of tourism and recreation, as soon as there are some problems of scientific support for the tourism sector
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STABILITY OF DEVELOPMENT OF AGRARIAN SECTOR: COMPLEX OF MATHEMATICAL METHODS AND MODELS
DescriptionTools and mathematical methods offered for usage represent essentially new base for forecasting of discrete evolutionary processes. Authors represent complete system of models and methods of temporary ranks’ with memory forecasting
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TECHNIQUE OF THE ASSESSMENT ЩА INVESTMENT APPEAL OF INNOVATIVE PRO-JECTS IN GRAIN PRODUCTION
DescriptionWe have presented a technique of evaluation of in-vestment appeal of innovative projects in grain pro-duction in a way of innovative development of the meso-level, on the basis of the calculation of the inte-gral and the reference levels, and the assessment of innovation and investment projects, using a multicrite-rion approach
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THE IMPACT OF SEASONAL AND EVENT COMPONENT ON PLANNING AND MANAGEMENT OF TOURIST FLOWS
DescriptionThe article discusses the impact of seasonal and event-component time series to assess the predictive performance of the tourist flow in Dombay village in the Karachay-Cherkessia Republic
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METHODS OF CLASSICAL STATISTICS IN STUDYING THE DEGREE OF "RISKINESS" OF TREND-SEASONAL PROCESSES
DescriptionThe article studies the degree of "riskiness" of natural time series, which are inherent properties of the seasonal trend. The authors have made an analysis the result of which is the effect relationship between weather conditions and the dynamics of the behavior of the monthly volumes of mountain rivers
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TO THE PROBLEM OF LACK OF INFORMATION. SMALL SAMPLES OR "VERY SHORT" TIME SERIES
DescriptionIn present article we consider one of the key problems of short time series in modern scientific prognostification. In scientific papers as a rule the problem of short time series is considered in connection with a problem of small selections. But there are some problems still unsettled what value of selection should be taken as a small one and which time series are short and very short. In spite of the fact that there are exist different opinions on the problem of small selection definition and as a result the definitions of short time series, time series of tax deductions analysis of which is given in the present paper one can qualify as very short ones. The authors are considering tax deductions, the length of which doesn’t exceed twelve meanings. It’s clear that building of the prognostification model on a base of given statistics is impossible. In the present paper the authors offer to carry out analysis of very short time series on the base of graphs and matrixes of similarity. In the base of the method proposed there is a visual method and information base are very short time series of tax deduction and time series of fiscal economic indices, forming taxation base. The given approach should help the officers of tax bodies to fulfill the testing analysis the purpose of which is to select tax-payers for checking up