• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.19-25
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• 2002

농업기본통계조사의 현행 표본은 1995년 농업총조사 결과를 모집단으로 선정한 것이므로 표본설계 시 고려되는 모집단의 기본 구조 변화 및 ${\ulcorner}$2000년 농업총조사${\lrcorner}$ 결과에서 나타난 변화된 특성을 제대로 반영하지 못하고 있으므로 ${\ulcorner}$2000년 농업총조사${\lrcorner}$ 결과를 바탕으로 모집단을 새로이 구성하여 변화하는 농가 구조를 반영하고, 기존 표본의 노후화를 방지하며, 기존 통계 생산을 유지하면서 신규 통계를 생산할 수 있도록 표본설계를 하였다.

• Journal of Korean Society of Forest Science
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• v.101 no.2
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• pp.213-219
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• 2012

The $5^{th}$ national forest inventory (NFI5) has been reorganized to annual inventory system for providing multi-resources forest statistics at a point in time. The objective of this study is to evaluate statistical estimators for estimating forest growing stock in Chungcheongbuk-Do from annual inventory data. When comparing two estimators; simple random sampling (SRS) and double sampling for post-stratification (DSS), for estimating mean forest growing stock ($m^3/ha$) at each surveyed year, the estimate for DSS in which a population of interest is stratified into three sub-population (forest cover types) was more precise than that for SRS. To combine annual inventory field data, three estimators (Temporally Indifferent Method; TIM, Moving Average; MA, and Weighted Moving Average; WMA) were compared. Even though the estimated mean for TIM and WMA is identical, WMA-DSS is preferred to provide more smaller variance of estimated mean and to adjust for catastrophic events at a surveyed year (so-called "lag bias") by annual inventory data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.67-75
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• 2011

This paper presents a new test technique for evaluating performance of vehicle detectors with interval estimation, not the conventional point estimation, for presenting statistical confidence interval. The methodology is categorized into three parts; sampling plan, analysis on the characteristic of evaluation indices, and the expression of evaluation results. Even though many statistical sampling plans exist, stratified random sampling is regarded as the most appropriate one, considering the detector performance characteristics that varies with traffic, illumination, and meteorological conditions. No magic bullet exists for evaluation index for detector evaluation, hence the characteristics of evaluation indices were thoroughly analyzed and a reasonable process for choosing the best evaluation index is proposed. Finally, the methodology to express the result of detector evaluation for the entire evaluation period and individual analysis interval is represented, respectively. To overcome the existing drawbacks in point estimation, interval estimation by which statistical confidence interval can be represented is introduced for enhancing statistical reliability of traffic detector evaluation. This research can make vehicle detector scheme improve one step forward.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.45-45
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• 2018

오염물의 혼합거동을 해석하기 위해 물리기반 모델을 이용하는 경우 모델을 구축하고 운용하는데 많은 시간과 재정이 소요되며 현장검증을 통한 검증이 반드시 필요하다. 하지만 데이터 기반 모델의 경우 축적된 데이터만으로도 예측을 수행할 수 있으며 물리기반모델에 비해 결정해야할 입력인자가 적어 모델운용이 용이하다는 장점이 있다. 다양한 데이터 모델 중 인공신경망(ANN) 모델은 데이터가 가지는 불확실성 및 비정상성, 복잡한 상호관련성에 효과적으로 대응할 수 있는 모델로 수자원 및 환경 분야에서 자주 사용되고 있다. 본 연구에서는 인공신경망 모델을 이용하여 지천유입이 있는 대하천의 수질인자 (pH, 전기전도도, DO, chl-a)를 예측하였다. 다른 데이터기반 모델과 같이 인공신경망 모델 또한 수집된 데이터 질에 크게 영향을 받으며, 내부 입력인자의 선택이 모델의 예측 결과에 큰 영향을 미친다. 이러한 인공신경망 모델의 특성을 바탕으로 예측모형의 정확도를 향상하기 위해서는 크게 데이터 처리부분과 모델구축 부분에서의 접근이 필요하다. 본 연구에서는 데이터 처리 과정에서 연구대상지점의 각각의 수질인자가 가지는 분포 특성을 유지하기 위해 층화표츨추출법을 이용하여 데이터를 구성하였다. 모델의 구축 과정에서는 초기가중치 값의 영향을 줄이기 위해 앙상블기법을 사용하였으며, 좀 더 견고하고 정확한 결과를 예측하기 위해 탄력적 역전파알고리즘을 추가하였다. 추가적으로 합류 후 본류의 미 계측지역 수질 예측 정확도 향상을 위해 본류의 수질인자뿐만 아니라 지류의 수질인자를 입력자료로 사용하여 모의를 수행하였다. 또한 동일 구간에서 수행한 현장추적자실험 자료를 이용하여 수질인자의 분포특성을 비교, 검증하였다. 개발된 모델을 이용하여 낙동강과 금호강 합류부 하류의 수질인자를 예측한 결과 지류의 수질인자를 입력자료로 추가한 경우 예측의 정확도가 증가하였으며, 현장실험 자료를 통해 밝혀진 오염물의 거동현상을 인공신경망 모델로도 동일하게 재현하는 것으로 나타났다. 본 연구에서 제안한 인공신경모델을 이용한다면 물리기반 수치모델을 대체하여 지천으로 유입된 오염물의 거동을 정확하고 효율적으로 파악할 수 있을 것이다.

• Journal of Korean Society of Forest Science
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• v.95 no.3
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• pp.370-377
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• 2006

This study was conducted to develop an efficient method of sampling design appropriate for the sustainable forest management. For this, data were collected in Yangpyung-Gun, Gyunggi Province based on three different sampling designs such as systematic design, systematic cluster design, and stratified cluster design. Based on evaluation statistics, the sampling designs were compared to select a sampling method fitted to sustainable forest management. It was found that the systematical cluster sampling is the most efficient sampling method in terms of feasibility for sustainable forest management. It was also recommended that the sample plots should be made as a cluster of triangle-shape. The clusters should be consisted of a main plot and three sub-plots. And the sub-plots should be arranged with a distance of 50m from the main plot in the center of cluster.

• Survey Research
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• v.8 no.1
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• pp.55-79
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• 2007

This article attempts to provide an overview of the exit polls for the 2006 local elections in Korea. The sampling method, sampling error, non-response rate, and prediction error of the exit polls are reviewed. Also, we explore the fact that the propensity to vote varies according to age and gender of voters. In terms of age and gender, the representativeness of the sample is investigated by comparing to the data released by the National Election Commission. Through this empirical research, we show that the exit poll samples are unbalanced in terms of age and this unbalance may be one of the causes of bias occurred in the prediction of the 2006 local election results. The design effects of the sample design implemented for the exit polls are also examined.

• The Korean Journal of Applied Statistics
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• v.33 no.2
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• pp.215-228
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• 2020

Under Article 19, Paragraph 1 of the Food Industry Promotion Act, Rural Development Administration renews the Korean foods composition table every five years. Before the publication of the tenth revision of the Korean foods composition table in 2021, this paper suggests methods for collecting representative samples of 182 highly consumed foods in Korea. Food markets are categorized by their distribution channels, which are supermarkets and local markets. Eight samples are collected from each category by applying the National Food and Nutrient Analysis Program (NFNAP)'s stratified multi-stage sampling. The NFNAP was implemented in 1997 as a collaborative food composition research effort between the National Institute of Health (NIH) and the US Department of Agriculture (USDA) to secure reliable estimates for the nutrient content of food and beverages consumed by the US population. Selected supermarkets for selecting representative food samples are Emart Kayang, Homeplus Siheung, Lottemart Dongducheon, Emart Suwon, Lottemart Dunsan, Lottemart Yeosu, Emart Ulsan, and Hanaroclub Ulsan. Selected local markets also are Doksandongusijang in Geumcheon-gu and Pungnapsijang in Songpa-gu, Seoul, Ilsansijang in Ilsanseo-gu, Goyang, Unamsijang in Buk-gu, Gwangju, Beopdongsijang in Daedeok-gu, Daejeon, Bongnaesijang in Yeongdo-gu and Jwadongjaeraesijang in Haeundae-gu, Busan, and Jungangsijang in Jinhae-gu, Changwon.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.250-256
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• 2014

This study was carried out in order to seek social support direction by allowing them to recognize necessity of preparing for their stably old age life and by inquiring into the preparation for old age life targeting dental hygienists who work at dental clinics. It sent questionnaire by post to dental hygienists of 1,560 dental clinics, which were sampled with a stratified sampling method, and then conducted a cross-sectional study based on self-administration. As a result of a problem of being worried in old age life, the ratio with the response as saying of being 'economy' was indicated to be the highest. The ratio of financial preparation for old age was shown to be high with 84.3%. Its method was the highest in 'fixed deposit and installment savings' with 62.6%. The satisfaction with financial preparation for old age stood at averagely 2.60, thereby having shown to be dissatisfied. It was shown to be low with 2.97 in the mean score of physical preparation for old age life, 3.59 in emotional preparation, and 2.56 in preparation for leisure. In conclusion, the satisfaction with financial preparation for old age life in our country's dental hygienists was low. Even the physical, emotional, and leisure-based preparations were shown to be low. Hence, it is considered to be likely needed to be planned preparation for old age life from the 30s. Also, for this, Korean Dental Hygienists Association needs to positively develop several kinds of programs such as education, policy and system for old age life following these people's retirement.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2010.05a
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• pp.148-148
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• 2010

본 연구는 서울시 지역주민을 대상으로 스트레스, 우울, 문제음주 간의 인과관계를 검증하고자 시도되었다. 본 연구는 서울시 S구이며, 전체 17개동에서 만 19세 이상인 남녀 주민을 층화집락추출법을 통해 표집된 1234명을 대상으로 하는 면접식 단면조사연구를 수행하였다. 구조방정식 모형을 사용하였으며, 측정모형에서 우울, 알코올장애의 내생잠재변수와 외생잠재변수인 스트레스 및 인구학적 변수(성, 연령, 결혼상태)를 이론변수로 설정하여 이들 간의 상관관계를 추정하였다. 또한 문제음주를 최종내생변인으로 우울을 매개변인으로 설정한 상태에서 경로분석을 실시하여 각 변인들의 상대적 중요성에 대한 평가를 시도하였다. 문제음주에 영향을 미치는 변수는 여성보다는 남성이($\beta=-6.64$, p < .001), 연령이 낮을수록($\beta=-.08$, p < .001), 스트레스가 높을수록($\beta=-.08$, p < .001), 미혼이 기혼($\beta=-1.15$, p < .05)의 순으로 경로계수가 유의하였다. 우울에 미치는 영향력은 스트레스($\beta=-.56$, p < .001)와 문제음주정도($\beta=-.15$, p < .001)의 순으로 경로계수가 유의하였다. 이상과 같이 우울이 직접적으로 문제음주에 영향을 주기보다는 스트레스로 인하여 문제음주가 유발될 수 있고 문제음주를 경유하여 우울에 영향을 미치는 것으로 드러났다. 이상의 연구결과를 종합해 볼 때 문제음주는 스트레스와 우울과 관련성이 크므로 우선적으로 스트레스를 적극적으로 관리하는 것이 중요하다. 또한 알코올과 관련한 통제정책으로 절대적인 음주량을 감소시키는 것이 필요하며, 문제음주자를 조기 발견하여 정신건강에 문제로 발전하지 않도록 하는 예방프로그램의 개발이 시급하다 하겠다.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1301-1313
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• 2009

Efficiency and sensitivity of BLS adjustment method have been studied and the method is known to provide more accurate estimate of total by using properly adjusted weights of samples. However, BLS methods provide different efficiencies according to the magnitudes of correlation coefficients and the sizes of samples in strata. In this paper we study the efficiency of the BLS adjustment according to the sample sizes and correlations in strata. For this study, 2007 monthly labor survey data is used.