• 한국재난정보학회 논문집
• /
• 제17권2호
• /
• pp.319-328
• /
• 2021

연구목적: 최근 대형 사회재난이 발생하면서 사회재난 안전도 진단에 대한 필요성이 요구되며 행정안전부에서 지역 안전지수, 국가안전대진단 등 지역의 안전도 등급을 계산하여 매년 공표하고 있다. 기존의 안전도 진단 시스템은 등간격 혹은 정규분포를 이용해서 획일화된 방법으로 등급화를 진행하여 위험지도를 작성하고 있다. 연구방법: 하지만 등간격 기법은 위험등급을 객관적으로 분석할 수 있지만 분포가 한쪽에 치우쳐있는 경우 위험등급을 분류하는데 한계가 있으며 z-score 기법은 모집단이 정규분포를 따르지 않으면 신뢰도가 떨어지는 문제가 있다. 지표별로 통계 데이터의 분포가 상이하기 때문에 데이터 분포별로 가장 적합한 등급화를 적용해야한다. 연구결과: 따라서 본 논문에서는 재난 지표의 데이터를 분석하여 각 지표마다 최적화된 등급화를 진행하고자 기존의 등간격 기법과 네츄럴브레이크 기법을 비교 및 적합한 방법을 제시하였다. 결론: 그 결과 기존의 등급화 기법과 다르게 적용된 것은 6새 지표 중 3개에 해당하였다.

• 응용통계연구
• /
• 제22권2호
• /
• pp.237-248
• /
• 2009

신용평가 연구에서 부도와 정상의 분포함수들의 동일성을 검정하는 비모수적 방법으로 Kolmogorov-Smirnov 검정법 이외에 Clamor-Yon Mises, Anderson-Darling, Watson 검정방법을 소개한다. 부도와 정상의 분포함수들의 선형결합된 부도율의 분포함수에 관한 전체적인 정보는 파악되어 잘 알고 있다. 모집단의 분포함수를 알고 있다는 가정 하에 Clamor-Von Mises, Anderson-Darling, Watson 검정통계량의 수정통계량을 제안한다. 신용평가자료와 유사한 성격을 갖는 다양한 부도율의 확률분포로부터 스코어를 생성하여 본 연구에서 제안한 수정통계량을 비교 토론한다.

• 산경연구논집
• /
• 제13권9호
• /
• pp.1-9
• /
• 2022

Purpose: This study evaluates the ability to improve the economic welfare of rural communities in Indonesia by using the inequality measures of the distribution of information between leaders and their people as a variable that weakens the capacity of increasing the welfare. Research Design, Data, and Methodology: The research designed by developing an instrument using data validity and reliability testing. Before, primary data collected through interviews, questionnaires, observation, and documentation on the selected respondents. Then, the research method used is mixed methods research, in which quantitative and qualitative methods combined. Result: The finding from this study is that there is an inequality measure in the form of a high gap between the score of information distribution obtained by the village government compared to the score of the community, which has led to the welfare of the village which is still at a moderate level and not ready to become a prosperous society. Conclusion: The weakness of the village community is related to two things, namely the behavior and knowledge of the community about the issues, so the implication is that there must be a strong effort from the central government to ensure that technology is more evenly distributed to all villagers.

• 한국물환경학회지
• /
• 제34권3호
• /
• pp.251-269
• /
• 2018

In 1997, the environmental score (Q) corresponding the tolerance value of Korean benthic macroinvertebrate species and the related biotic score, the ecological score of benthic macroinvertebrates (ESB) were proposed; ESB was similar to Beck's biotic index or Chandler's biotic score. This study was carried out to revise the Q values of individual species and the assessment scheme of ESB based on the taxonomic performance and ecological information accumulated since then. The original ESB was renamed as TESB (total ESB), and AESB (average ESB) was newly proposed. AESB is calculated by dividing the TESB (for a given station) by the number of species present in the sample. In this study, TESB showed a positively skewed distribution, while AESB showed a negatively skewed distribution. The correlation between TESB and the concentration of $BOD_5$ was a little stronger than that of the original ESB. TESB showed a very strong correlation (correlation coefficient r = 0.98) with Margalef's species richness, of which correlation coefficient was higher than that of AESB (r = 0.85). AESB showed a strong correlation (r = -0.79) with the concentration of $BOD_5$, while TESB showed a weaker correlation (r = -0.67). Applying TESB and AESB together in an assessment of the environment may be comprehensive because the physical and chemical states of the environment can be evaluated together. AESB is less dependent on the sample size, while TESB tends to increase as the sample size increases. In the evaluation of the environment using TESB, it is necessary to standardize the methods on monitoring.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권8호
• /
• pp.3984-4005
• /
• 2017

Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

• Communications for Statistical Applications and Methods
• /
• 제20권5호
• /
• pp.417-425
• /
• 2013

We consider an extended version of a logarithmic series distribution and discuss the estimation of its parameters by the method of moments and the method of maximum likelihood. Test procedures are suggested to test the significance of the additional parameter of this distribution and all procedures are illustrated with the help of real life data sets. In addition, a simulation study is conducted to assess the performance of the estimators.

• Communications for Statistical Applications and Methods
• /
• 제3권2호
• /
• pp.197-204
• /
• 1996

We consider a two sample rank test for a bivariate mixture distribution based on Johnson's quantile score. The test statistic is simple to calculate and the exact distribution under the null hypothesis is obtained. A numerical example is given.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권1호
• /
• pp.179-185
• /
• 2021

The aim of this study is to examine the impact of board of directors' activity on the audit committee's effectiveness score among manufactured listed companies on Saudi Stock Exchange (Tadawul) for the period 2015-2017. The final sample of this study consists of 195 firm-year observations that represent manufactured companies listed on Saudi Stock Exchange (Tadawul) for the years 2015-2017. The data of this study in terms of board of directors' meetings, audit committee size and meetings, firm leverage, firm performance, and firm age were hand-collected from the annual reports of the considered companies. The Pooled OLS regression's result indicate that audit committee's effectiveness score is influenced by the board of directors' activity. This result gives support to the agency theory prediction. This result is also consistent with the complementary function of corporate governance mechanisms in which board of directors' activity complements the function of audit committee's effectiveness score. The result of this study should be useful for manufacturing companies, Saudi Stock Exchange, auditors, and regulators which relates to the association between board of directors' activity and audit committee's effectiveness score. This study provides a new empirical evidence on the impact of board activity on the audit committee's effectiveness score in an interesting context which is Saudi Arabia.

• 응용통계연구
• /
• 제22권1호
• /
• pp.29-39
• /
• 2009

신용평가 연구에서 부도율분포를 기반으로 부도기업과 정상기업의 판별력을 탐색하는 방법 중의 하나로 ROC와 CAP 곡선을 사용한다. 부도와 정상기업을 분류하는 절단점의 변동에 따라 구한 여러 부도비율을 통해 ROC와 CAP 곡선을 작성하는데 곡선의 각 좌표에 대응하는 절단점을 탐색하기 어렵다. 본 연구에서는 ROC와 CAP 곡선을 나타내는 부도비율들의 함수를 이용하여 조정된 ROC와 CAP곡선을 제안한다. 조정된 ROC와 CAP 곡선을 통해 절단점과의 관계를 파악할 수 있으며, 최적의 절단점을 식별할 수 있다. 또한 부도와 정상기업에 관한 분포함수의 동일성을 검정하는 Kolmogorov - Smirnov 통계량과 조정된 ROC와 CAP 곡선을 통해 얻은 최적 절단점의 관계를 토론한다.

• Communications for Statistical Applications and Methods
• /
• 제18권2호
• /
• pp.219-227
• /
• 2011

본 연구에서는 두 반응변수의 이질적 산포를 허용하는 좀 더 일반적인 형태의 이변량 음이항 회귀모형을 삼각소거법(trivariate reduction technique)을 이용하여 제안하였다. 이 분포에서 산포의 동일성에 대한 스코어 검정과 LR 검정을 유도하고 모의실험을 통하여 각 검정법의 효율성을 비교하였다. 모의실험 결과 스코어 검정과 LR 검정 모두 명목유의수준을 제대로 유지하고 검정력도 높게 나타나 산포의 동일성을 검정하는데 효율적인 검정법으로 나타났다. 하지만 스코어 검정은 LR 검정에 비하여 계산이 간편하다는 장점이 존재하고 모의실험을 통하여 스코어 검정이 LR 검정보다 약간 나은 효율을 보였으므로 산포의 동일성에 대한 검정에서 스코어 검정의 사용을 제안하고자 한다. 더불어 실제 사례에 두 검정법을 적용하고 그 결과를 제시하였다.