• 한국산업보건학회지
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• 제10권2호
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• pp.1-17
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• 2000

We investigated dissatisfaction of elements of local exhaust system, needs for local exhaust system, and information networks for local exhaust system from June 1998 to September 1999 using the questionnaire structured. It contained questions concerning general characteristics of factory and local exhaust system, troubles and dissatisfaction of elements of local exhaust system, and information networks for local exhaust system. The collected data were analyzed by descriptive statistics analysis. Information networks for local exhaust system were analyzed by multidimensional scaling using path distance of network analysis and by graph analysis using Krackplot. Among complaints of local exhaust system, that of duct has show the highest percentage of complaint. In the information network for local exhaust system, Seoul is positioned in the center of network with mediating role.

• 대한수학회논문집
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• 제11권3호
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• pp.855-865
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• 1996

In this paper, we establish the weak convergences of processes occurring in a generalized Curie-Weiss model and its dual.

• 보건행정학회지
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• 제31권3호
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• pp.301-311
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• 2021

Background: This study purposed to analyze the relationship between the local extinction index and medical service uses of chronic diseases. The local extinction index is an indicator of the demographic structure and population aging of the region. Methods: The 2014-2018 statistics of National Health Insurance Corporation and Korean Statistical Information Service data were used for the analysis. First, descriptive statistics were used to analyze the general status of research variables. Second, a panel analysis was performed to analyze the relationship between the local extinction index and medical service uses of chronic diseases (hypertension, diabetes mellitus, periodontal disease, arthritis, mental health, epidemic disease, liver disease). Medical service uses were measured by the number of visits/inpatient days and medical charges of seven chronic diseases. Results: Panel analysis results showed that higher local extinction risks (meaning lower local extinction index) had a positive relationship with the number of visits/inpatient days and medical charges of chronic diseases. But the relationships were varied when the seven chronic diseases were analyzed separately. Conclusion: This study showed a significant relationship between the local demographic structure and medical service uses of chronic disease. Analyzing the local demographic structure will be an essential prerequisite step for implementing appropriate regional health care policies.

• 한국정보통신학회논문지
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• 제6권4호
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• pp.639-644
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• 2002

순위 차수 정보와 공간정보를 이용하는 비선형 필터들은 부가 잡음에 의해 발생되는 불안정 신호를 복원하기 위해서 많이 제안되고 있으면 본 논문에서는 국부통계를 기반으로 계수 변화를 하는 데이터 의존 LWOS필터를 제안하고자 한다. LWOS필터［1］는 가우시안 형태의 잡음뿐만 아니라 미세한 신호를 보호하면서 비임펄스 잡음을 제거할 수 있었으며, 임펄스 잡음에 의해서 방해를 받을 때는 DD-LWOS 필터보다 DD-LWOS2 필터가 더 좋은 결과를 가진다는 것을 확인할 수 있었다.

• Communications for Statistical Applications and Methods
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• 제30권4호
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• pp.369-388
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• 2023

In this paper, we develop the two-step procedure that detects and estimates the position of structural changes for multivariate nonstationary time series, either on mean parameters or second-order structures. We first investigate the presence of mean structural change by monitoring data through the aggregated cumulative sum (CUSUM) type statistic, a sequential procedure identifying the likely position of the change point on its trend. If no mean change point is detected, the proposed method proceeds to scan the second-order structural change by modeling the multivariate nonstationary time series with a multivariate locally stationary Wavelet process, allowing the time-localized auto-correlation and cross-dependence. Under this framework, the estimated dynamic spectral matrices derived from the local wavelet periodogram capture the time-evolving scale-specific auto- and cross-dependence features of data. We then monitor the change point from the lower-dimensional approximated space of the spectral matrices over time by applying the dynamic principal component analysis. Different from existing methods requiring prior information on the type of changes between mean and covariance structures as an input for the implementation, the proposed algorithm provides the output indicating the type of change and the estimated location of its occurrence. The performance of the proposed method is demonstrated in simulations and the analysis of two real finance datasets.

• Journal of the Korean Data and Information Science Society
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• 제25권5호
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• pp.971-986
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• 2014

동시에 여러 개의 가설검정 수행시 귀무가설이 참일 경우 귀무가설을 기각할 확률이 커지는 문제가 발생한다. 이러한 다중검정 문제 해결을 위해 여러 연구에서는 가설검정시 필요한 집단별 오류율(FWER; family-wise error rate), 위발견율 (FDR; false discovery rate) 또는 위비발견율 (FNR; false nondiscovery rate) 과 통계량을 고려하여 검정력을 높이고자 하였다. 본 연구에서는 T 통계량, 수정된 T 통계량, 그리고 LPE (local pooled error) 통계량 기반 P값을 이용한 Bonferroni (1960) 방법, Holm (1979) 방법, Benjamini와 Hochberg (1995) 방법과 Benjamini와 Yekutieli (2001) 방법 그리고 Z 통계량 기반 Sun과 Cai (2007) 방법을 고찰하고 모의실험을 통해 다중검정 능력을 비교하였다. 또한 실제 데이터로 애기장대 유전자 발현 데이터에 대해 여러 가지 다중검정법을 통해 유의한 유전자들을 선별하였다.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.43-52
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• 1999

The local influence method is adapted to quadratic discriminant analysis for the identification of influential observations affecting the estimation of probability density function probabilities and log odds. The method allows a simultaneous perturbation on all observations so that it can identify multiple influential observations. The proposed method is applied to a real data set and satisfactory result is obtained.

• Journal of the Korean Statistical Society
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• 제31권2호
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• pp.237-250
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• 2002

Motivated by Cook's (1986) assessment of local influence by investigating the curvature of a surface associated with the overall discrepancy measure, this paper extends this idea to the linear regression model with AR(p) disturbances. Diagnostic for the linear regression models with AR(p) disturbances are discussed when simultaneous perturbations of the response vector are allowed. For the derived criterion, numerical studies demonstrate routine application of this work.

• 응용통계연구
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• 제35권2호
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• pp.299-310
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• 2022

사회 네트워크 분석에 대한 관심이 높아짐에 따라 사회 네트워크에서 발생하는 변화를 탐지하는 연구에 대한 관심도 높아지고 있다. 사회 네트워크에서 발생하는 변화는 네트워크의 구조적 변화로 나타난다. 따라서 사회 네트워크에서 발생하는 변화를 탐지하는 것은 네트워크의 구조적 특성에 대한 변화를 탐지하는 것이다. 사회 네트워크에서 발생하는 지역적 변화는 가까운 이웃들 간에 발생하는 변화로 네트워크 일부에 집단적으로 나타난다. 이 논문의 목적은 네트워크에서 발생하는 지역적 변화를 효율적으로 탐지하는 절차를 제안하는 것이다. 제안하는 절차는 지역적 변화를 보다 효율적으로 탐지하기 위해 네트워크를 분할하고 각각의 분할된 네트워크에 기반한 관리도를 작성하여 네트워크에서 발생한 변화를 탐지하는 것이다. 네트워크를 분할하여 변화를 탐지하는 절차는 네트워크에서 발생한 지역적 변화를 보다 신속하게 탐지할 수 있으며, 변화가 발생한 위치에 대한 정보를 제공한다는 장점이 있다. 모의실험 결과에 따르면 제안된 절차는 네트워크의 크기가 작고 변화의 크기가 작은 경우 효율적이며, 네트워크를 더 작은 크기로 분할하면 작은 변화를 더 효율적으로 탐지한다는 사실을 확인하였다.

• Asian Journal of Business Environment
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• 제12권2호
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• pp.43-53
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• 2022

Purpose: This study aims to analyze the performance of local taxes in Indonesia through the estimation of tax capacity and tax effort, as well as classifying provinces based on the estimated value of tax capacity and tax effort. Research design, data and methodology: this study uses panel data of 34 provinces in Indonesia for the period of 2014-2018. The analytical method used in the tax capacity model is panel data regression to explain the factors that influence tax performance. Tax effort is estimated by the ratio of tax to tax capacity. Results: The results of the analysis show that gini ratio and regional expenditures have a significant positive effect on the tax ratio, while the share of GRDP in the manufacturing sector and HDI has a significant negative effect on the tax ratio. Based on the results, there are 19 provinces that have low tax capacity and 16 provinces that have low tax effort. Conclusions: The development of local tax performance tends to fluctuate with an average of 1.24 percent per year. Gini ratio and regional expenditure have a significant positive effect on the tax ratio, while the share of GRDP in the manufacturing sector and HDI have a significant negative effect on the tax ratio.