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COMPARATIVE ANALYSIS OF MODELS AND METHODS OF FORECASTING
Seliverstova Anastasia Valerevna
Bauman Moscow State University
student
Bauman Moscow State University
student
Abstract
The article highlights the main forecasting methods: intuitive and formalized methods. Attention was paid to the formalized methods. The classification formalized models was made: static and structural, their differences are described.The reviews of regression, autoregressive models and exponential smoothing models, as well as neural networks and models based on Markov chains were made. Based on this work marked the advantages and disadvantages of each model.
Keywords: AR model moving average, autoregressive model, based on Markov chains, exponential smoothing models, forecasting, formal methods, group accounting method argument, Holt model, Holt-Winters model, linear regression, neural network models, prediction methods, prediction models, regression models, static models, structural models
Category: 05.00.00 Technical sciences
Article reference:
Comparative analysis of models and methods of forecasting // Modern scientific researches and innovations. 2016. № 11 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2016/11/74271
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