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Development of a combined method for predicting discrete time series with non-stability for forecasting military goods demand
Author(s) -
Stepan Kubiv,
Yuriy Balanyuk
Publication year - 2019
Publication title -
tehnologìčnij audit ta rezervi virobnictva
Language(s) - English
Resource type - Journals
eISSN - 2312-8372
pISSN - 2226-3780
DOI - 10.15587/2312-8372.2019.188188
Subject(s) - akaike information criterion , autocorrelation , production (economics) , stability (learning theory) , set (abstract data type) , partial autocorrelation function , series (stratigraphy) , function (biology) , computer science , data set , bottleneck , time series , econometrics , mathematics , data mining , mathematical optimization , statistics , autoregressive integrated moving average , economics , machine learning , paleontology , biology , evolutionary biology , embedded system , macroeconomics , programming language

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