• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.15-35
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• 2020

In research on behavioral studies, significant attention has been paid to the stage-sequential process for multiple latent class variables. We now explore the stage-sequential process of multiple latent class variables using the multivariate latent class profile analysis (MLCPA). A latent profile variable, representing the stage-sequential process in MLCPA, is formed by a set of repeatedly measured categorical response variables. This paper proposes the extended MLCPA in order to explain an association between the latent profile variable and the latent group variable as a form of a two-dimensional contingency table. We applied the extended MLCPA to the National Longitudinal Survey on Youth 1997 (NLSY97) data to investigate the association between of developmental progression of depression and substance use behaviors among adolescents who experienced Authoritarian parental styles in their youth.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권2호
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• pp.116-120
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• 2006

This paper discusses an approach for detecting a new edge in color images. The color image is to be represented by a vector field, and the color image edges are detected as differences in the local vector statistics. This method is based on the calculation for the vector angle between two adjacent pixels. Unlike Euclidean distance in RGB space, the vector angle distinguishes the differences in chromaticity, independent of luminance or intensity. The proposed approach can easily accommodate concepts, such as variable template edge detection, as well as the latest developments in vector order statistics for color image processing. In this paper, it is used not a conventional fixed template operator but a variable template operator The variable template is implemented and experimental results for digital color images are included.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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• pp.51-57
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• 2006

Association rule mining searches for interesting relationships among Items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. In this paper we present association rule mining based antecedent variables. We call these rules to antecedent association rules. An antecedent variable is a variable that occurs before the independent variable and the dependent variable. For example, in politics, a special interest group may want to support a politician who backs their cause. The group would look for a candidate who supports their views and support his election. Once in office, the politician would then conduct policy that supports the interest group.

• Journal of the Korean Data and Information Science Society
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• 제27권4호
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• pp.1059-1066
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• 2016

In this paper we propose a robust version of varying coefficient models, which is based on the regularized regression with L1 regularization. We use the iteratively reweighted least squares procedure to solve L1 regularized objective function of varying coefficient model in locally weighted regression form. It provides the efficient computation of coefficient function estimates and the variable selection for given value of smoothing variable. We present the generalized cross validation function and Akaike information type criterion for the model selection. Applications of the proposed model are illustrated through the artificial examples and the real example of predicting the effect of the input variables and the smoothing variable on the output.

• 응용통계연구
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• 제24권6호
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• pp.1055-1076
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• 2011

본 논문에서는 변이가 큰 약물(HVD)의 생동성 평가 문제와 이를 해결하기 위하여 지금까지 수행된 연구 결과들을 소개한다. 우리나라를 비롯한 세계 여러 나라에서 현재 사용하는 전통적 생동성 평가규정 중에서 HVD에 적용 가능한 방법들과 HVD 문제 해결을 주된 목적으로 고안된 방법들로 나누어 살펴본다. 특히 scaled average bioequivalence(SABE)에 대한 연구 결과들을 통계학적인 관점에서 검토하며 SABE를 이용하여 수행하는 생동성 평가 방법에 대해 알아보고 추후 연구주제 등에 대해서도 논의한다.

• Journal of Magnetics
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• 제21권2호
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• pp.273-280
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• 2016

In this paper, the peristaltic flow of Psedoplastic fluid with variable viscosity in an asymmetric channel is examined. The bionic effects by means of magnetohydrodynamics (MHD) are taken into account. The assumptions of long wave length and low Reynolds number are taken into account. The basic equations governing the flow are first reduced to a set of ordinary differential equation by using appropriate transformation for variables and then solve by using perturbation method. The effect of physical parameters on the pressure rise, velocity and pressure gradient are illustrated graphically. The trapping phenomenon is analyzed through stream lines. A suitable comparison has also been made as a limiting case of the considered problem.

• 응용통계연구
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• 제20권3호
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• pp.597-604
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• 2007

현대 사회에서 건강관리와 공중보건 분야의 이상원인 탐지와 감시를 위하여 관리도 기법을 많이 사용하고 있다 예를 들어, 외과의사의 수술 수행성과의 변화나 만성병과 전염병 등의 비율 변화를 탐지하는데 관리도를 사용할 수 있다. 이 논문에서는 건강관리와 공중보건 분야에서 많이 사용하는 VLAD (variable life-adjusted display) 관리도를 소개하고, 이 관리도에서 관리한계선을 설정하는 방법을 제안하였다.

• Communications for Statistical Applications and Methods
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• 제5권1호
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• pp.77-84
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• 1998

ARES plot (Cook and Weisberg, 1987) idea is applied to a multiple regression model in which the relation between a response variable and some independent variable is nonlinear. This method is expected to show the impact on the function to which and independent variable should be transformed, as a variable is smoothly added to the model.

• Journal of the Korean Data and Information Science Society
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• 제18권3호
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• pp.783-792
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• 2007

We consider estimation of reliability P(Y

• Communications for Statistical Applications and Methods
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• 제15권3호
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• pp.325-332
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• 2008

We consider estimation of reliability P(Y < X) and distribution of the ratio when X and Y are independent uniform random variable and power function random variable, respectively and also consider the estimation problem when X and Y are independent uniform random variable and a half-normal random variable, respectively.