Current State and Development Forecast of Dairy Market
The article discusses the place of the dairy market in the structure of the food market of Kazakhstan, considered the state and problems of sustainable development of its production. Various approaches to forecasting its development had analyzed. Extrapolation and exponential smoothing methods are used as the most appropriate, allowing, according to the authors, to take into account various trends in the sphere of production, distribution and consumption of food products.
 Akhmetova, K.A. 2010. Agro-industrial complex of Kazakhstan: state, problems, solutions. Monograph. Karaganda. 180.
 Borisevich, V.I., Kandaurova, G.A. and Kandaurov, N.N. 2017. Forecasting and economic planning. 380.
 Brown, R.G. 2013. Smoothing, Forecasting and Prediction of Discrete Time Series. New York. Prentice-Hall. Englewood Cliffs. 196.
 Chernysh, E.A. 2016. Forecasting and planning in market conditions. Moscow. PRIOR. 176.
 Dougherty, K. 2015. Econometrics. Moscow. Infra-M. 53-69.
 Dougherty, K. 2018. Introduction to Econometrics. Moscow. INFRA-M. 402.
 Eliseeva, I.I., Knyazevsky, V.S. and Nivorozhkina, L.I. 2014. Statistics theory with the fundamentals of probability theory. Moscow. Unity – dana. 446.
 Fedoseev, V.V. and Garmash, A.N. 2017. Economic-mathematical methods and applied models. Moscow. Uniti. 391.
 Frenkel, A.A. 2017. Prediction of labor productivity: methods and models. Moscow. Economy. 214.
 Gambarov, G.M., Zhuravel, N.M. and Korolev, Yu.G. 2015. Statistical modeling and forecasting. Moscow. Finance and Statistics. 383.
 Gmoshinsky, V.G. 2012. Engineering Forecasting. Moscow. 207.
 Granberg, A.G. 2015. Dynamic models of national economy. Moscow. Economy. 240.
 Haushtein, G.D. 2014. Methods of forecasting sociological economics. Moscow. Progress. 394.
 Hellwing, Z. 2017. Statistic methods. Hungary. 133.
 Kaldybaev, O.K. and Baizakov, S.B. 2017. Mathematical methods in the planning and management of regional economies. Almaty. Science. 160.
 Karenov, R.S., Dyusembayeva, A.D. and Andarova, R.K. 2017. Regional economy: (problems, concepts, solutions). Almaty. Gylym. 224.
 Kleandrov, D.I. and Frenkel, A.A. 2017. Forecasting economic indicators using the simple exponential smoothing method. Statistical analysis of economic time series and forecasting: Scientific notes on statistics. Moscow. 148-164.
 Lukashin, Yu.P. 2016. Adaptive methods of short-term forecasting. Moscow. Statistics. 254.
 Smirnov, A.D. 2015. Modeling and forecasting sociological reproduction. Moscow. Economy. 197.
 Zamkov, O.O., Tolstopyatenko, A.V. and Cheremnykh, Yu.N. 2016. Mathematical methods in economics. Moscow. 45-56.
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