A Study on the Measurement of the Microbial Contamination Level of Mammography

Hong, Dong Hee; Jung, Hong Ryang; Lim, Cheong Hwan; Park, Mi Soon; Mo, Eun Hee

doi:10.17485/ijst/2016/v9i46/107171

Cited by 1 publication

(4 citation statements)

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“…H. Li and Wang (2018) used Yu'ebao as an example to conduct an early warning analysis on internet consumer finance using GARCH control charts. Ouyang and Mo (2016) constructed Pareto extreme value distribution and historical model based on Var, which can accurately measure the risk level of internet finance. C. Li and Shen (2018) made a Logit and Cox proportional risk regression model to study internet consumer finance risks.…”

Section: Internet Consumer Finance Regulationmentioning

confidence: 99%

“…Wang et al, 2022), Generalized ARCH (GARCH) (H. Li & Wang, 2018), Vector Autoregressive Model (VAR) (Ouyang & Mo, 2016), Cox proportional-hazards model (Cox) (C. Li & Shen, 2018), etc.…”

Section: Introductionmentioning

confidence: 99%

“…Various methods exist to address regulatory issues, mainly divided into four categories: legal system (Groll et al, 2021), computer technology (Wen, 2021;Z. Wu & Zhou, 2023), econometric statistical methods (Ouyang & Mo, 2016), and evolutionary game methods (M. Wei et al, 2021). Econometric statistical methods include factor analysis (J.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al, 2022), Logistic regression (M. Guo, 2016;J. Wang et al, 2022), Generalized ARCH (GARCH) (H. Li & Wang, 2018), Vector Autoregressive Model (VAR) (Ouyang & Mo, 2016), Cox proportionalhazards model (Cox) (C. Li & Shen, 2018), etc. Computer technology includes artificial intelligence (AI) (Wall, 2018), cloud technology (Liao, 2021), blockchain (Gozman et al, 2020;Zhang, 2021), and so on.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Tripartite Evolutionary Game Model for Internet Consumer Financial Regulation

Mu,

Wang,

Gao

et al. 2023

Sage Open

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Due to many social problems caused by Internet consumer finance, Internet consumer finance regulation has always become one of the main concerns of governments and society. Based on a novel three-dimensional mixed strategy game matrix, this paper constructs a tripartite evolutionary game model for regulators, Internet consumer financial institutions, and consumers. In this model, we establish the dynamic replication equation of the three parties above, analyze the influence of factors on the tripartite strategy selection and discuss the stability of model equilibrium points through numerical simulation. The results show that the model will get six evolutionary stable points in Internet consumer financial regulation under different conditions. Moreover, strict regulation, verification, and contract keeping are the most ideal evolutionarily stable strategies. In addition, three critical factors affect the evolution results of the three parties, namely losses to institutions caused by loose regulation and verification, punishment for loose verification under strict regulation, and losses from breaking the contract.

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Section: Internet Consumer Finance Regulationmentioning

confidence: 99%

“…Wang et al, 2022), Generalized ARCH (GARCH) (H. Li & Wang, 2018), Vector Autoregressive Model (VAR) (Ouyang & Mo, 2016), Cox proportional-hazards model (Cox) (C. Li & Shen, 2018), etc.…”

Section: Introductionmentioning

confidence: 99%