• 제목/요약/키워드: cluster sampling

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이단계 집락추출에서의 표본크기에 대한 연구 (A Study of Sample Size for Two-Stage Cluster Sampling)

  • 송종호;제해성;박민규
    • 응용통계연구
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    • 제24권2호
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    • pp.393-400
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    • 2011
  • 조사비용과 시간과 같은 현실적인 제약하에서 관측단위 (observation unit)의 집합인 집락(cluster)율 추출하는 집락추출법은 대부분의 대형조사(large scale survey) 에서 흔히 사용된다. 특별히 집락내의 관측단위가 매우 유사한 경우, 집락 내의 모든 관측치를 조사하는 대신 일부를 추출하여 조사하는 이단계 집락 추출법이 선호된다. 이단계 집락추출법의 적용시 집락인 1차추출단위 (Primary Sampling Unit; PSU)와 관측단위인 2차추출단위(Secondary Sampling Unit; SSU)의 표본수 결정은 주어진 비용과 표본으로부터 계산되어지는 통계량의 정도에 의존한다. 본 연구에서는 기존의 1차추출단위의 크기가 동일하다는 가정하에서 유도된 최적 PSU와 SSU 표본크기 산출과정을 일반화하여 1차추출단위의 크기가 같지 않을 경우의 최적 표본크기를 유도하고 그 결과를 제 4차 퇴원환자조사를 위한 표본추출 방안에 적용하여 기존방법과 비교하였으며 이를 바탕으로 제 7차 퇴원환자조사를 위한 표본크기를 제안하였다.

Randomized Response Model with Discrete Quantitative Attribute by Three-Stage Cluster Sampling

  • Lee, Gi-Sung;Hong, Ki-Hak
    • Journal of the Korean Data and Information Science Society
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    • 제14권4호
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    • pp.1067-1082
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    • 2003
  • In this paper, we propose a randomized response model with discrete quantitative attribute by three-stage cluster sampling for obtaining discrete quantitative data by using the Liu & Chow model(1976), when the population was made up of sensitive discrete quantitative clusters. We obtain the minimum variance by calculating the optimum number of fsu, ssu, tsu under the some given constant cost. And we obtain the minimum cost under the some given accuracy.

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대규모 표본설계에서 확률비례 및 단순집락추출법 비교 -경제활동인구 표본조사 사례를 중심으로- (A Comparison of PPS and Simple Cluster Sampling in Large Scale Sampling -Based on Economically Active Population Survey Sample Design)

  • 윤연옥;이상은
    • 응용통계연구
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    • 제14권1호
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    • pp.1-11
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    • 2001
  • 확률비례추출법(pps sampling)에서 표본단위의 추출확률을 결정하기 위하여 크기측도(measure of size:MOS)를 사용한다. 통계청에서 실시하는 일부 대규모조사의 경우 각 표본단위들의 크기측도를 살펴보면 서로 매우 유사한 편임을 알 수 있다. 이런 경우 조사원 업무량을 고려하여 확률비례추출법 대신 단순집락추출법의 사용 필요성이 제시되었다. 본 논문에서는 1997년 통계청의 경제활동인구조사 표본설계법에 두 가지 추출법을 적용하여 평균제곱오차(MSE)와 변이계수(CV)를 비교하였다.

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고정 샘플링 주파수에서의 모듈형 멀티레벨 컨버터 레벨 선택 알고리즘 (Level Selection Algorithm with Fixed Sampling Frequency for Modular Multilevel Converter)

  • 김찬기;박창환;김장목
    • 전력전자학회논문지
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    • 제23권6호
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    • pp.415-423
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    • 2018
  • This study uses a level selection algorithm with fixed sampling frequency for modular multilevel converter (MMC) systems. Theoretically, the proposed method increases the level infinitely while the sampling time remains the same. The proposed method called cluster stream buffer (CSB) consists of several clusters, wherein each cluster is composed of 32 submodules that depend on the level of the submodules in the MMC system. To increase the level of the MMC system, additional clusters are used, and the sampling time between clusters is determined from the sampling time between levels needed for utilizing the entire level from the MMC system. This method is crucial in the control of MMC-type HVDC systems because it improves scalability and precision.

Weighted subsampling 기반의 향상된 영상 클러스터링 알고리즘 (Improved Image Clustering Algorithm based on Weighted Sub-sampling)

  • 최병인;남상훈;정시창;윤정수;양유경
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.939-940
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    • 2008
  • In this paper, we propose a novel image clustering method based on weighted sub-sampling to reduce clustering time and the number of clusters for target detection and tracking. Our proposed method first obtain sub-sampling image with specific weights which is the number of target pixels in sampling region. After performing clustering procedure, the cluster center position is properly obtained using weights of target pixels in the cluster. Therefore, our proposed method can not only reduce clustering time, but also obtain proper cluster center.

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A GENERALIZATION OF THE INTRACLASS CORRELATION IN CLUSTER SAMPLING

  • KIM KYU-SEONG
    • Journal of the Korean Statistical Society
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    • 제34권3호
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    • pp.185-195
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    • 2005
  • This article is concerned with the intraclass correlation in survey sampling. From a design-based viewpoint the intraclass correlation is generalized to a finite population with unequal sized clusters. Under simple random cluster sampling the intraclass correlation is given in an explicit form, which is a generalization of the usual one. The range of it is found and the design effect is expressed by means of it. An example is given to compare the intraclass correlation with the homogeneity measure numerically, which shows that two measures are not the same except some limited cases.

Determination of Sampling Unit Size for Cultivation Area Survey using Remote Sensing Technology

  • Park, Jin-Woo;Shin, Gi-Eun;Lee, Suk-Hoon;Byun, Jong-Seok
    • 응용통계연구
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    • 제25권5호
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    • pp.733-741
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    • 2012
  • The successful launch of Arirang satellites allow the acquisition of high resolution satellite imagery of Korean territory and enables the transition from the conventional cultivation area survey method to new image based methods adopted in advanced nations. In this study, we suggested reasonable sizes of the primary sampling unit and the secondary sampling unit for the satellite imagery based sampling design in 8 provinces preselected for this research. The PSU size was determined mainly in consideration of intracorrelation that shows the degree of homogeneity within each cluster and the efficiency of the image process. For the SSU size, we considered the relative standard error and the differences between the land cover maps produced by the Ministry of Environment and the satellite imagery processed by the National Statistical Office.

이단계표본추출을 이용한 소결핵병 유병률 추정 (Two-stage Sampling for Estimation of Prevalence of Bovine Tuberculosis)

  • 박선일
    • 한국임상수의학회지
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    • 제28권4호
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    • pp.422-426
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    • 2011
  • For a national survey in which wide geographic region or an entire country is targeted, multi-stage sampling approach is widely used to overcome the problem of simple random sampling, to consider both herd- and animallevel factors associated with disease occurrence, and to adjust clustering effect of disease in the population in the calculation of sample size. The aim of this study was to establish sample size for estimating bovine tuberculosis (TB) in Korea using stratified two-stage sampling design. The sample size was determined by taking into account the possible clustering of TB-infected animals on individual herds to increase the reliability of survey results. In this study, the country was stratified into nine provinces (administrative unit) and herd, the primary sampling unit, was considered as a cluster. For all analyses, design effect of 2, between-cluster prevalence of 50% to yield maximum sample size, and mean herd size of 65 were assumed due to lack of information available. Using a two-stage sampling scheme, the number of cattle sampled per herd was 65 cattle, regardless of confidence level, prevalence, and mean herd size examined. Number of clusters to be sampled at a 95% level of confidence was estimated to be 296, 74, 33, 19, 12, and 9 for desired precision of 0.01, 0.02, 0.03, 0.04, 0.05, and 0.06, respectively. Therefore, the total sample size with a 95% confidence level was 172,872, 43,218, 19,224, 10,818, 6,930, and 4,806 for desired precision ranging from 0.01 to 0.06. The sample size was increased with desired precision and design effect. In a situation where the number of cattle sampled per herd is fixed ranging from 5 to 40 with a 5-head interval, total sample size with a 95% confidence level was estimated to be 6,480, 10,080, 13,770, 17,280, 20.925, 24,570, 28,350, and 31,680, respectively. The percent increase in total sample size resulting from the use of intra-cluster correlation coefficient of 0.3 was 22.2, 32.1, 36.3, 39.6, 41.9, 42.9, 42,2, and 44.3%, respectively in comparison to the use of coefficient of 0.2.

The Three-Stage Cluster Randomized Response Model for Obtaining Sensitive Information

  • Lee, Gi Sung;Hong, Ki Hak;Son, Chang Kyoon;Jung, Young Mee
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.247-256
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    • 2003
  • In this study, we systemize the theoretical validity for applying RRM to three-stage cluster sampling method and derive the estimate and it's variance of sensitive parameter. We derive the minimum variance form under the optimal values of the subsample sizes when the costs are fixed. Under the some given precision, we obtain the optimal values of the subsample sizes and derive the minimum cost form by using them. We apply the three-stage cluster RRM to field survey and suggest some necessary points for practical use.

남성복(男性服)의 치수규격을 위한 하체부(下體部)의 체형분류(II) (Classification of Bodytype of Lower Part on Adult Male for the Apparel Sizing System)

  • 김구자
    • 한국의류학회지
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    • 제17권4호
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    • pp.602-607
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    • 1993
  • Concept of the comfort and fitness becomes a major concern in the basic function of the ready-made clothes. This research was performed to classify and characterize Korean adult males anthropometrically. Sample size was 1290 subjects and their age range was from 19 to 54 years old. Sampling was carried out by the stratified sampling method. 75 variables in total were applied to classify the bodytypes. Data were analyzed by the multivariate method, especially factor and cluster analysis. The high factor loading items extracted by factor analysis were based to determine the variables of the cluster analysis for the similar bodytypes respectively. In the part of the lower body, 14 variables from the data were applied to classify the bodytypes of lower part by Ward's minimum variance method. The group fanning a cluster were subdivided into 5 sets by cross-tabulation extracted by the hierarchical cluster analysis. Type 3 and 4 in lower body were composed of the majority of 53.1% of the subjects. The Korean adult males had relatively well-balanced in lower body.

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