• Proceedings of the Korean Statistical Society Conference
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• 2003.05a
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• pp.63-68
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• 2003

도시가구의 지출 중 집세가 차지하는 비율이 높으며 그 변동에 따라 도시가구의 생활에 미치는 영향도 커서 중요한 통계자료로 인식되고 있다. 집세 계약기간이 통상 2년 단위이기 때문에 집세변동의 발생빈도가 적어서 이러한 소표본 군의 통계단위로 일반적인 집세지수를 작성하는데는 많은 어려움이 따른다. 그렇다고 해서 소표본 군의 표본을 확대하는 것도 어렵기 때문에 이러한 산술적인 표본확대가 어려운 소표본 군의 문제점을 해결하기 위해 소지역 추정법을 도입하였다. 이러한 소표본 통계단위에서의 집세 변동률 추정방법을 경기도 지역의 6개 도시에서의 집세변동을 추정하는데 적용하였으며 검토해 보았다.

• Communications for Statistical Applications and Methods
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• v.19 no.1
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• pp.13-22
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• 2012

Cut-off sampling that discards a part of the population from the sampling frame, is a widely used method for a business survey. Usually, to the estimate of population total, an accurate estimate of the total of the take-nothing stratum is required. Many estimators have been developed to estimate the total of the take-nothing stratum. Recently Kim and Shin (2011) suggested a composite estimator and showed the superiority of that estimator. In this paper, we suggest an alternative composite estimator obtained by combining BLUP estimator and a ratio estimator obtained by the small samples from the take-nothing stratum. Small simulation studies are performed for a comparison of the estimators and we confirm that the new suggested estimator is superior.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.139-147
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• 2022

This study tried to analyze the relationship among physical activity level, subjective health status, COVID-19 Fear. This study used the 2020 Community Health Survey that includes 229,269 survey data from adults over 19 years old. The complex sampling design was applied including weight, stratification, cluster variables. Through the SPSS statistics program with complex sampling frequency analysis, complex sampling Chi-square and complex sampling regression, this study found followings. First, the group with high level of physical activity showed higher level of subjective health status than the group with low level of physical activity. Second, the group with high level of physical activity showed lower level of COVID-19 fear than the group with low level of physical activity. Third, the group with high level of subjective health status showed lower level of COVID-19 fear than the group with low level of subjective health status. However, this study has the limitation that this study did not check whether participant is diagnosed with Covid-19 or not.

• Communications for Statistical Applications and Methods
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• v.3 no.1
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• pp.179-188
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• 1996

복합조사표본추출법(complex survey sampling)에 근거한 분할표분석에 카이제곱검정법을 사용할 때의 문제점들과 해결방법들을 살펴보았다. 나아가, 군집표본추출의 경우에 붓스트랩방법의 타당성을 보였으며, 실제자료분석을 통하여 실제 활용가능성과 잇점을 제시하였다.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.06a
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• pp.45-56
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• 2001

In this paper, we conducted an empirical study to investigate the design and weighting effects on descriptive and analytic statistics. We compared the regression models using the design-based approach and the generalized estimating equations(GEEs) approach with the model-based approach through the design and weighting effects analysis.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.387-392
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• 2020

This study was to investigate the relationship of BMI, sleep time and experience of oral diseases in adolescents. We want to help develop basic data for improving oral health of adolescents. According to the sample design of the Youth Health Behavior online survey, a total of 57,303 adolescents were analyzed for frequency of composite samples, x2-test of composite samples, and logistic regression of composite samples, and the IBM SPSS Statistics 20.0 program was used and the significance level was 0.05. Results, BMI was associated with bad breath, and sleep time was associated with tooth break, pain, bleeding, and bad breath. Therefore, BMI and sleep time should be considered for the management and prevention of oral diseases in adolescents.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.73-86
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• 2001

In this paper, we conducted an empirical study to investigate the design and weighting effects on descriptive and analytic statistics. We compared the regression models using the design-based approach and the generalized estimating equations(GEEs) approach with the model-based approach through the design and weighting effects analysis.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1155-1167
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• 2009

We made a new sample design for life and consciousness survey of Kyungpook people in 2007. We used the 10% sample survey data of 2005 population and housing census as a survey population. After stratification, we allocate proportionally samples within strata after examining various characteristics in previous survey, which includes economic activity state, an income level per year, and housing possession. And we calculated weight in a new sample design and derived estimators and a formula of standard error using the weights.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.268-272
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• 2020

This study will be used as basic data for the prevention of suicide ideation and the promotion of oral health of economic activity by studying the data of National Health and Nutrition Survey in Korea to find out the relationship between the oral health and suicidal ideation in Korea economic activity. The collected data was based on the IBM SPSS Statistics 20.0 program, and the analysis method is to analyze the frequency of complex samples, Chi-square test of complex samples and logistic regression analysis of complex samples were performed. According to the study, discomfort chewing 2.49 times higher in relation to oral health and suicidal ideation. Therefore, it suggests the need for oral health care to prevent suicide ideation of economic activity.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.675-694
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• 2008

We propose a new sampling design for the Korean Livestock Production Cost Survey. In this sampling design, the survey population is derived from the 2005’s agricultural census of Korea. And coefficient of variation(CV) is estimated from the current livestock production cost survey data, and the estimated CV’s are used to find the optimal sample size which satisfies the predetermined precision of estimation. In order to save the enumeration cost, the agriculture enumeration districts are used as a primary sampling unit(psu). Final sample is selected by double sampling. Also, we propose the estimator which is able to reflect the change of the population of livestock production households.