2019
DOI: 10.25073/jaec.201931.220
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Comparison among Akaike Information Criterion, Bayesian Information Criterion and Vuong's test in Model Selection: A Case Study of Violated Speed Regulation in Taiwan

Abstract: When doing research on scientific issues, it is very significant if our research issues are closely connected to real applications. In reality, when analyzing data in practice, there are frequently several models that can appropriate to the survey data. Hence, it is necessary to have a standard criterion to choose the most ecient model. In this article, our primary interest is to compare and discuss about the criteria for selecting a model and its applications. The authors provide approaches and proced… Show more

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Cited by 41 publications
(22 citation statements)
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“…These algorithms will work ineffectively if the data set, pictures and figures have missing values or errors in measurement. About the methods to solve the problems have missing values can look at in Little (1992), Pho and Nguyen (2018) and Pho et al (2019). The algorithms recommend in this article can be applied to every place in the world.…”
Section: Resultsmentioning
confidence: 99%
“…These algorithms will work ineffectively if the data set, pictures and figures have missing values or errors in measurement. About the methods to solve the problems have missing values can look at in Little (1992), Pho and Nguyen (2018) and Pho et al (2019). The algorithms recommend in this article can be applied to every place in the world.…”
Section: Resultsmentioning
confidence: 99%
“…Regrading missing data problems, they have also been studied and mentioned by different researchers. For instance, Pho et al (2019b) 22 reviewed three update methods to solve the issues with missing data. Besides, we refer to Little (1992) 23 , Horton and Kleinman (2006) 5 , Mahmoudi et al (2020a) 24 , etc; for further details.…”
Section: Discussionmentioning
confidence: 99%
“…Although AIC is widely used for practical purposes (e.g., [17]; [18]), little attention has been paid to how AIC performs in each problem. The simple problem of coin tossing treated here clarifies one aspect of AIC.…”
Section: Discussionmentioning
confidence: 99%