Journal of Automation and Information Sciences
Erscheint 12 Ausgaben pro Jahr
ISSN Druckformat: 1064-2315
ISSN Online: 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,
Ausgabe 7, 2015,
pp. 59-88
DOI: 10.1615/JAutomatInfScien.v47.i7.60
ABSTRAKT
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.
SCHLÜSSELWÖRTER: autoregression equations system, optimum set of regressors, training sample, testing sample, size of sample.
REFERENZIERT VON
-
Sarychev O.P., Perviy B.A., Models of space object motion based on time series of TLE-elements, Technical mechanics, 2021, 1, 2021. Crossref
347 Artikelansichten
5 Artikel-Downloads
Metriken
Artikel mit ähnlichem Inhalt:
Neueste Ausgabe
Modeling of Configurations Formed when Using Microneedle Systems
Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field
The Dynamics of One Arms Race Mathematical Model with a Delay
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems
Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling
Index, Volume 52, 2020