Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/29446
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dc.contributor.authorLu X.
dc.contributor.authorPu R.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2023-11-15T02:08:39Z-
dc.date.available2023-11-15T02:08:39Z-
dc.date.issued2023
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85167896850&doi=10.2478%2famns.2023.1.00451&partnerID=40&md5=b4f2fc9f3b295a0f582d5dc808a07b9a
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/29446-
dc.description.abstractTo better construct the economic management system, the author proposes a method based on nonlinear algebraic equations. Using BDS statistics as the test method of data model correctness, it is proved that BDS statistics can be used to test the correctness of a large class of data models. Based on the actual economic data, the validity of the BDS statistical test method and its theory is verified. The experimental results show that the BDS statistics obtained are 5.77 and 7.11. It can be seen that BDS statistics reject AR (2) model. This implies that some part of the sequence has a large variance, which is derived from a different system, and therefore leads to the rejection of the null hypothesis. It is proved that BDS statistics can be used to test the correctness of a large class of data models. © 2023 Xinyao Lu et al., published by Sciendo.
dc.publisherSciendo
dc.subjectBDS statistics
dc.subjectdata model
dc.subjectEconomic management system
dc.subjectNonlinear algebraic equations
dc.titleApplication of Economic Management System Based on Nonlinear Algebraic Equation
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationApplied Mathematics and Nonlinear Sciences. Vol , No. (2023)
dc.identifier.doi10.2478/amns.2023.1.00451
Appears in Collections:Scopus 2023

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