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TIMESERIES FORECASTING PROBLEM STA TEMENT AND DESCRIPTION OF MAIN METHODS
Journal: Science and world (Vol.1, No. 56)Publication Date: 2018-04-25
Authors : Demkin V.A.;
Page : 40-42
Keywords : Holt - Winters model; models of classification - regression trees; singular spectrum analysis; exponential smoothing model; regression model; autoregressive mode l; heteroscedasticity;
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- THE SEED OIL CONTENT AND TECHNOLOGICAL FIBER QUALITY OF DIFFERENT COTTON LINES
- TECHNOLOGICAL PROPERTIES OF М-4007, М-4011 COTTON PLANT FIBER IN SEED NURSERY
- TECHNOLOGICAL FIBER QUALITY OF COTTON VARIETY OF G. HIRSUTUM L. SPECIES
- THE EFFECT OF THE HOT DRY WIND ON THE LENGTH OF FIBER OF SOME COTTON SPECIES AND LINES
- DEPTHS INTERROW PROCESSING OF COTTON, IMPROVE THE QUALITY OF COTTON FIBER-RAW
Abstract
The classification of the main forecasting methods is given. Statistical methods, expert estimates, modeling are considered.Scopes of application, comparison of methodologies are defined. There are restrictions on the use of different models. The regression, autoregressive, exponential smoothing models, SSA method are considered among the statistical ones. Examples of application of methods and analysis of the most influencing factors for each case are presented
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Last modified: 2018-09-28 15:42:38