Journal of Automation and Information Sciences
Publicado 12 números por año
ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Modeling in a Class of Autoregression Equations Systems in Conditions of Structural Uncertainty
Volumen 47,
Edición 7, 2015,
pp. 59-88
DOI: 10.1615/JAutomatInfScien.v47.i7.60
SINOPSIS
For modeling in a class of autoregression equations system there is developed the system criterion of regularity of Group Method of Data Handling with subdividing the observations into training and testing subsamples. The existence of the optimum set of regressors is proved. The condition of a reduction of the optimum system of regression equations is obtained. This condition depends on parameters of autoregression equations system and the size of samples.
PALABRAS CLAVE: autoregression equations system, optimum set of regressors, training sample, testing sample, size of sample.
CITADO POR
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Sarychev O.P., Perviy B.A., Models of space object motion based on time series of TLE-elements, Technical mechanics, 2021, 1, 2021. Crossref
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