• The Korean Journal of Applied Statistics
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• v.13 no.1
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• pp.81-96
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• 2000

본 논문은 의학분야에서 주로 사용되는 메타분석 중 그룹화 임의효과 모형(grouped random effects model)을 프라빗 연결함수(probit link function)를 이용하여 베이즈적 관점에서 연구하였다. 이때 프라빗 함수를 강요하기 위해 잠재변수를 정의하였고, 사전 분포를 달리한 세가지 모형을 고려하였다. 주어진 세가지 모형들에게서 적합한 모형 선택을 위하여 베이즈 인자(Bayes factor, BF)와 유사베이즈 인자(pseudo-Bayes factor, PsBF)를 이용하였다. 깁스샘플러와 메트로폴리스 알고리즘을 이용하여 베이지안 계산상의 어려움을 해결하였다. 예로써, 새로운 간질약에 대한 효과를 조사하기 위하여 앞에서 제시된 방법으로 해석하였다.

• Informatization Policy
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• v.18 no.1
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• pp.45-54
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• 2011

The purpose of this study is to analyze the selection behavior decision model of telecommunications service under the telecommunication environments with joining the WiBro and 3GPP LTE-Advanced service at the sam time. The research results are as follows. First, mobile telecommunication service selection behavior is correlated with each other between WiBro and 3GPP LTE-Advanced service. Second, in the bivariate probit model estimates such as age, income, expenditure and income variable are important decision variables of WiBro and 3GPP LTE-Advanced service selection behavior. Gender and service using years, however, are not an important variables. The single and bivariate probit estimate results show the same estimation results. Finally, the two service selecting predictions by using the bivariate probit estimated results, 28.6% of WiBro and 25.3% of 3GPP LTE-Advanced were expected. Also, chance to join the two telecommunications services simultaneously is 19.3%. Therefore, WiBro selection probability is a little higher than 3GPP LTE-Advanced. The implications of these results, the future telecommunications service selection will be determined by economic factors such as income and expenditure. Thus, to enable the WiBro, policy means for reducing the excessive telecommunications expenditure are needed in the future.

• Land and Housing Review
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• v.3 no.1
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• pp.23-32
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• 2012

The Schwabe's law explains the housing demand weighs more on demographic factors rather than on socio-economic factors as societies achieve higher level of economic development. Based on Schwabe's law, the present study constructs a hypotheses to analyze changes of housing demand with respect to housing tenure change in Seoul Metropolitan Area (SMA) during the periods of 1980 to 2005. To test the hypotheses, the authors take advantage of the Population and Housing Census 2% data from 1980 to 2005. The authors apply binary probit with decomposition method to verify our hypotheses. The authors found that the influence of socio-economic factors on housing tenure have been weakened in the housing market during the periods of 1980 to 2005. On the other hand, the relative influence of demographic factors have been strengthened in the housing market during the periods. The present study concludes that housing demand in the SMA have been dramatically changed from socio-economic characteristics to demographic factors to decide housing tenure during the periods, which confirms the hypotheses of the present study.