• 응용통계연구
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• 제21권3호
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• pp.387-397
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• 2008

최근 공간통계를 이용한 많은 연구가 진행되고 있고 공간통계학을 접목한 소지역 추정(small area estimation) 방법이 좋은 결과를 주고 있는 것으로 알려져 있다 소지역 추정에 사용되는 격자자료(lattice data) 분석에서 이웃정보를 정의하는 것은 자료 분석의 성패를 결정짓는 매우 중요한 부분이다. 그러나 기존에 사용된 대부분의 이웃정보시스템은 경계선을 공유할 때 이웃으로 정하는 방법을 사용하고 있다. 이에 본 논문에서는 경계선 공유를 이용한 이웃정보시스템 뿐 아니라 다른 여러 이웃정보시스템을 구하는 방법을 설명하고 2001년 경제활동자료를 이용하여 이 시스템들을 비교하였다

• 응용통계연구
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• 제25권3호
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• pp.521-529
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• 2012

Simple canonical correlation biplot is a graphical method to investigate two sets of variables and observations in simple canonical correlation analysis. If we consider the set of covariate variables that linearly affects two sets of variables, we can apply the partial canonical correlation biplot in partial canonical correlation analysis that removes the linear effect of the set of covariate variables on two sets of variables. On the other hand, we consider the set of covariate variables that linearly affect one set of variables but not the other. In this case, if we apply the simple or partial canonical correlation biplot, we cannot clearly interpret other two sets of variables. Therefore, in this study, we will apply the semi-partial canonical correlation analysis of Timm (2002) and remove the linear effect of the set of covariate variables on one set of variables but not the other. And we suggest the semi-partial canonical correlation biplot for interpreting the semi-partial canonical correlation analysis. In addition, we will compare shapes and shape the variabilities of the simple, partial and semi-partial canonical correlation biplots using a procrustes analysis.

• 산경연구논집
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• 제13권6호
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• pp.9-18
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• 2022

Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.

• Communications for Statistical Applications and Methods
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• 제28권2호
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• pp.135-150
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• 2021

We propose principal differential analysis based classification methods. Computations of squared multiple correlation function (RSQ) and principal differential analysis (PDA) scores are reviewed; in addition, we combine principal differential analysis results with the logistic regression for binary classification. In the numerical study, we compare the principal differential analysis based classification methods with functional principal component analysis based classification. Various scenarios are considered in a simulation study, and principal differential analysis based classification methods classify the functional data well. Gene expression data is considered for real data analysis. We observe that the PDA score based method also performs well.

• Journal of the Korean Statistical Society
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• 제27권1호
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• pp.57-66
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• 1998

In the analysis of time series it is an important issue to determine whether a time series under study is stationary. For the test of the stationary of the time series the Dickey-Fuller (DF) type tests have been mainly used. In this paper, we consider the regular unit root tests and seasonal unit root tests based on the generalized Durbin-Watson (DW) statistics when the errors are independent. The limiting distributions of the proposed DW-type test statistics are the functionals of standard Brownian motions. We also obtain the finite distributions and powers of the DW-type test statistics and compare the performances with the DF-type tests. It is observed that the DW-type test statistics have good behaviors against the DF-type test statistics especially in the nonzero (seasonal) mean model.

• Communications for Statistical Applications and Methods
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• 제15권2호
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• pp.245-254
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• 2008

제7차 교육과정 개편에 따라 고등학교 수학교과 구성에 있어, 확률 통계관련 내용이 과거에 비하여 양적으로 많이 증대되었다. 따라서 내용적인 측면에서도 확률 통계관련 각 영역이 단원 목표를 제대로 달성될 수 있도록 구성된다면, 정보화 사회에 요구되는 보다 효율적인 통계교육이 이루어질 수 있을 것이다. 이에 본 논문에서는 고등학교 수학교과 중 확률 통계관련 내용이 단원의 학습목표를 달성할 수 있도록 구성되어 있는지를, 제7차 고등학교 수학 교육과정 해설서에 제시된 중심용어와 기호를 중심으로 '연결망분석(network analysis)'을 활용하여 알아보았다. 그 결과 확률변수를 매개로 확률분포에 대한 개념과 통계적 추정에 대한 개념을 연결하는 서술구조는 통계적인 측면에서 매우 잘 표현되어 있으나, '전수조사'와 '표본조사'는 여타의 항목과 연결되지 않는 등, 일부에 있어서는 기술상에 문제점을 내포하고 있는 것으로 나타났다.

• 대한수학교육학회지:학교수학
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• 제16권3호
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• pp.519-542
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• 2014

이 연구에서는 현직 중등학교 교사 45명이 통계 영역의 수업을 분석한 결과를 검토하여 수업 실행과 관련된 교사 지식의 특징을 기술함으로써 교사의 수업 전문성 신장과 관련된 논의에 시사점을 얻고자 하였다. 이를 위해 우선 교사들의 수업 관찰 결과를 분석하기 위한 이론적 틀을 개발하고 이를 토대로 교사들이 작성한 수업 분석문의 세부 내용을 코드화하였다. 이렇게 코드화된 분석문을 통해 통계 지도와 관련된 교사 지식의 실제적 특징을 확인하여 '수업의 목적', '교사의 역할과 담화', '자료와 공학 도구'의 관점에서 통계 교육과 관련된 몇 가지 이슈를 추출하였다.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 2002년도 제54차 추계 학술대회 연제집
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• pp.447-448
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• 2002

• 여성건강간호학회지
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• 제29권4호
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• pp.348-356
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• 2023

Purpose: This study aims to analyze the number of suicide deaths in women, trends in suicide mortality, characteristics of suicide by age, and outcomes of suicide means over the past decade (2011-2021) in South Korea. Methods: Using cause of death data from Statistics Korea, an in-depth analysis of Korean women's suicide trends was conducted for the period of 2011-2021. Results: In 2021, women's suicide death in Korea was 4,159, a rate of 16.2 per 100,000 population. The rate increased by 1.4% from the previous year. Since 2011, women's suicide rate has been on a steady downward trend, but since 2018, it has been on the rise again. Suicide rates among women in their 20s and 30s have increased, especially since the coronavirus disease 2019 pandemic, and suicide rates among women over 70 years remain high. As compared to 2011, pesticide poisoning and hanging among the means of suicide have decreased significantly, while drug and carbon monoxide continue to increase. Conclusion: Suicide rates for Korean women in their 20s and 30s have increased significantly in recent years, and those for women over 70 years remain high. Therefore, it is necessary to investigate the causes and establish national policies for targeted management of these age groups, which contributes significantly to the rising suicide rate among Korean women.

• 응용통계연구
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• 제22권6호
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• pp.1143-1152
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• 2009

A canonical correlation analysis(CCA)-based method is proposed for prediction of future climate change which combines information from ensembles of atmosphere-ocean general circulation models(AOGCMs) and observed climate values. This paper focuses on predictions of future climate on a regional scale which are of potential economic values. The proposed method is obtained by coupling the classical CCA with empirical orthogonal functions(EOF) for dimension reduction. Furthermore, we generate a distribution of climate responses, so that extreme events as well as a general feature such as long tails and unimodality can be revealed through the distribution. Results from real data examples demonstrate the promising empirical properties of the proposed approaches.