Name
Zhmurko Daniil Yuryevich
Scholastic degree
—
Academic rank
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Honorary rank
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Organization, job position
Kuban State Agrarian University
Web site url
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Articles count: 27
The article deals with methods of visual-graphic analysis (technical analysis) and a possibility of adapting them to the conditions (indicators) of the sugar subcomplex from the position of integrated production systems (IPS). It should be noted that technical analysis is very popular. Thanks to the advent of powerful processors for computers and inexpensive software, trade analysts have access to technical analysis tools. The topic is becoming increasingly relevant in connection with the high pace of the global economic community. Visual graphical analysis (technical analysis), as well as its latest methods (indicators) that are adapted to modern economic conditions, are sort of the primary "blueprints" for the more complex forecasting tools, without which none of the analyst can do. Separating statistics from mathematics as an independent unit occurred after the development and start of mass use of tools visual graphical analysis (VGA) in various applied Sciences. The main feature of the prediction is the decision of the tasks which are implemented in the algorithm of sequential nonparametric model. This indicates the improving the validity of information when predicting performance of IPS SP AIC. For a more General (objective) picture of the forecasting activities of IPS SP you need to apply this analysis in combination with other tools, such as hierarchical analysis of structural change and of correlation and spectral analysis. According to the forecasts obtained with the help of indicators the VGA, countries such as Brazil and India over time, waiting for the "overheating" of the economy due to unprecedented growth in the volume of growing sugar cane and manufacturing raw sugar. However, it is not necessary to consider the visual-graphic analysis as a perfect tool for forecasting market trends. Technical analysis should be seen as a tool for analysis and forecasting, which uses as the basis for short-term forecasting (benchmark) for operational decision-making by managers as a major sugar holdings, and the Ministry of agriculture
The article deals with methods of visual-graphic analysis (technical analysis) and a possibility of adapting them to the conditions (indicators) of the sugar subcomplex from the position of integrated production systems (IPS). It should be noted that technical analysis is very popular. Thanks to the advent of powerful processors for computers and inexpensive software, trade analysts have access to technical analysis tools. The topic is becoming increasingly relevant in connection with the high pace of the global economic community. Visual graphical analysis (technical analysis), as well as its latest methods (indicators) that are adapted to modern economic conditions, are sort of the primary "blueprints" for the more complex forecasting tools, without which none of the analyst can do. Separating statistics from mathematics as an independent unit occurred after the development and start of mass use of tools visual graphical analysis (VGA) in various applied Sciences. The main feature of the prediction is the decision of the tasks, which are implemented in the algorithm of sequential nonparametric model. This indicates the improving the validity of information when predicting performance of IPS SP AIC. For a more General (objective) picture of the forecasting activities of IPS SP you need to apply this analysis in combination with other tools, such as hierarchical analysis of structural change and of correlation and spectral analysis. According to the forecasts obtained with the help of the indicators VGA, countries such as Brazil and India over time, waiting for the "overheating" of the economy due to unprecedented growth in the volume of growing sugar cane and manufacturing raw sugar. However, it is not necessary to consider the visual-graphic analysis as a perfect tool for forecasting market trends. Technical analysis should be seen as a tool for analysis and forecasting, which uses as the basis for short-term forecasting (benchmark) for operational decision-making by managers as a major sugar holdings, and the Ministry of agriculture
This article is devoted to the practical application
of economic-mathematical methods (based on correlation
analysis) to control the economic parameters
of the integrated production systems sugar
subcomplex (IPS SS) AIC oriented to meet the
needs in the sugar production of the population not
only of individuals, but also of the regions and the
country as a whole. This article discusses and
solves the following tasks: autocorrelation and
partial autocorrelation functions, cross-correlation
function (correlation matrix) study of deciduous
macroeconomics series, with appropriate verification
(test) Durbin - Watson. The study used Statistica,
MS Excel and Xlstat add-in. The work describes
experiments with various kinds of nonstationary
time series of the agricultural sector and
food industry sugar subcomplex, as well as the test
results on the difficulty of communication between
them. We have identified industry-high cycles. The
article presents results of numerical experiments
autocorrelation of the time series of sugar production,
acreage, gross harvest and yield of sugar beet
and sugar cane, by country. Systematically, we
describe ideas and methods underlying the correlation
analysis. We have given the evaluation of the
results of correlation analysis on each type. Further,
it can be assumed that the proposed techniques
will greatly affect a key points when making
recommendations for new models of production
of sugar products, market-oriented – this will
minimize the time and cost of the finished product
that will make a more stable position in the sector
for this integrated production system in relation to
its competition
This article is devoted to the practical application
of economic-mathematical methods (based on correlation
analysis) to control the economic parameters
of the integrated production systems sugar
subcomplex (IPS SS) AIC oriented to meet the
needs in the sugar production of the population not
only of individuals, but also of the regions and the
country as a whole. This article discusses and
solves the following tasks: autocorrelation and
partial autocorrelation functions, cross-correlation
function (correlation matrix) study of deciduous
macroeconomics series, with appropriate verification
(test) Durbin - Watson. The study used Statistica,
MS Excel and Xlstat add-in. The work describes
experiments with various kinds of nonstationary
time series of the agricultural sector and
food industry sugar subcomplex, as well as the test
results on the difficulty of communication between
them. We have identified industry-high cycles. The
article presents results of numerical experiments
autocorrelation of the time series of sugar production,
acreage, gross harvest and yield of sugar beet
and sugar cane, by country. Systematically, we
describe ideas and methods underlying the correlation
analysis. We have given the evaluation of the
results of correlation analysis on each type. Further,
it can be assumed that the proposed techniques
will greatly affect a key points when making
recommendations for new models of production
of sugar products, market-oriented – this will
minimize the time and cost of the finished product
that will make a more stable position in the sector
for this integrated production system in relation to
its competition
In this article, we consider the task of systematizing the axioms and postulates, directly or indirectly connected with the study of the cycles of varying length and nature, which constitute the absolute of the general theory of cycles
The article considers brief theoretical information of the wavelet transform and the methods of identification of nonlinear time-varying systems using multi resolution wavelet transform. The methods of data processing based on wavelet transformation are widely used in recent times. Wavelets have significant advantages compared to Fourier transform because wavelet transform tells you about not only the frequency spectrum of the signal, but also on what point in time came one or another harmonic. With their help, you can easily analyze intermittent signals or signals with powerful bursts. Moreover, wavelets allow us to analyze data according to scale, on one of the preset levels (small or large). The unique properties of wavelets allow constructing a basis in which the representation of the data will be expressed with just a few nonzero coefficients. This property makes wavelets a useful tool for data packaging. Small expansion coefficients may be discarded in accordance with the selected algorithm without a significant impact on the quality of the compressed data. Wavelets have found wide application in digital signal processing and data analysis. There are two classes of wavelet transforms: continuous and discrete. In the article we have implemented the discrete wavelet transform with the resulting output distribution on a 3D graph. The algorithm and the results of converting a time series of indicators of integrated industrial systems of sugar subcomplex in agro industrial subcomplex. The methods of neural network modeling for improved accuracy in predicting high-frequency oscillation are applied in the research. The method of determination of cyclic patterns based on coefficients of the wavelet transform has been proposed
The article examines the concept and essence of adaptive management. The classification of adaptive management system (AMS). Is an example of adaptive management system with complex organi-zation for integrated segments of sugar subcomplex of agriculture
Schemes of informational, monetary and material flows IPS SP were worked out on the base of analysis of sugar sub complex, and structure of purposes
and functions of management system of IPS SP based on the method , which takes into account
the surrounding medium and purposes, was created as well.
The article discusses the possible variants of solution of the problems accompanying the sustainable development of integrated segments of sugar sub-complex of agroindustrial complex adaptive management. It also describes the study of criteria and requirements they must meet
The article reveals the concepts such as processes, cycles and phases (stages, levels) of adaptive man-agement. The stages of the management cycle of integrated segments of sugar subcomplex are pro-vided in the tables. We also provide a definition for systems with aggravation