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2014 | 15 | 2 | 7-16

Article title

MANAGEMENT OF AN AGRICULTURAL ENTERPRISE ON THE BASIS OF ITS ECONOMIC STATE FORECASTING

Content

Title variants

Languages of publication

EN

Abstracts

EN
On the basis of the mechanism of accidental sequences canonical expansions the algorithm of the economic state of agricultural enterprise forecasting is obtained which allows to estimate the results of its work in future under the realization of a certain reorganization (change of land resources, labour resources, fixed assets).

Year

Volume

15

Issue

2

Pages

7-16

Physical description

Dates

published
2014

Contributors

  • Department of Higher and Applied Mathematics Mykolaiv National Agrarian University
  • Department of Intelligent Information Systems Petro Mohyla Black Sea State University
  • Department of Finances and Credit Mykolaiv National Agrarian University

References

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  • Altman E.I., Narayanan P. (1997) An international survey of business failure classification models, Financial Markets, Institutions and Instruments, Vol. 6, №2 – pp. 81-130.
  • Atamanyuk I.P. (2005) Algorithm of extrapolation of a nonlinear random process on the basis of its canonical decomposition, Cybernetics and Systems Analysis, №2 – pp. 131-138.
  • Atamanyuk I.P. (2009) Optimal Polynomial Extrapolation of Realization of a Random Process with a Filtration of Measurement Errors, Journal of Automation and Information Sciences, Volume 41, Issue 8 – pр. 38-48.
  • Atamanyuk I.P., Kondratenko V.Y., Kozlov O.V., Kondratenko Y.P. (2012) The algorithm of optimal polynomial extrapolation of random processes, Lecture Notes in Business Information Processing, 115 LNBIP – pp. 78-87.
  • Granger C.W.J., Newbold P. (1986) Forecasting economic time series. Academic Press –114 p.
  • Hall S.G. (1994) Applied economic forecasting techniques. Harvester Wheatsheaf – 224 p.
  • Kudritskiy V.D. (2001) Filtration, extrapolation and identification of the realizations of random functions. – Kyev: FADA ltd. – 176 p.
  • Połoński M. (2012) Prognozowanie czasu zakończenia inwestycji na podstawie jej bieżącego zaawansowania, Metody ilościowe w badaniach ekonomicznych, Tom XIII/3 – s. 169-179.
  • Prędki A. (2013) Subsampling approach for statistical inference within stochastic DEA models, Metody ilościowe w badaniach ekonomicznych, Vol. XIV, No. 2 – s. 158-168.
  • Pugachev V. (1962) Theory of random functions and its implementation. Moscow: Physmathgis – 720 p.
  • Ryabushkin B.T. (1987) Application of statistical methods in an economic analysis and prognostication: Prakt. guidance. M.: Finances and statistics – 175 p.
  • Sirenko N.N. (2010) Management of strategy innovative development of agrarian sector of economy of Ukraine. – Mykolaiv – 416 p.
  • Szmuksta-Zawadzka M., Zawadzki J. (2013) Modele harmoniczne ze złożoną sezonowością w prognozowaniu szeregów czasowych z lukami systematycznymi, Metody ilościowe w badaniach ekonomicznych, Tom XIV/3 – s. 81-90.
  • Teyl G. (1971) Economy prognosis and making decision. M.: Statistics – 488 p.
  • Trifonov Yu.V., Plehanova A.F., Yurlov F.F. (1998) Choice of effective decisions in an economy in the conditions of vagueness. Nizhniy Novgorod: Publishing house NNGU – 140 p.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-cbb97c70-eb77-455c-9cc0-bf672fa61293
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