• Title/Summary/Keyword: 층화표본

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상가건물 임대차 실태조사

  • Park, Mu-Ik;Lee, Gye-O
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.11a
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    • pp.321-326
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    • 2002
  • 상가건물임대차보호법의 시행령을 제정하는데 필요한 근거정보를 수집하기 위한 임차 사업체조사의 표본설계과정과 추정법을 설명하고 주요 조사결과를 제시하였다.

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Design-based Variance Estimation under stratified Multi-stage Sampling (층화 다단계 샘플링에서 설계 기반 분산추정)

  • 김규성
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2001.04a
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    • pp.59-71
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    • 2001
  • We investigate design-based variance estimation methods of homogeneous linear estimator for population total under stratified multi-stage sampling. One method is unbiasedly estimating the first stage variance and the second stage variance separately in each stratum. And another is sub-sampling method that estimating the first stage variance only by using sub-sample selected from the second stage sample so that resulting estimator is unbiased for the total variance. The first is useful when the second stage unbiased estimator is available and the second is when the second stage variance is not estimable. For each case, we proposed a form of non-negative unbiased variance estimator. We expect the proposed variance estimation methods can be effectively used for many practical surveys.

A Study on the Construction of Weights for KYPS (한국청소년패널조사(KYPS) 가중치 부여 방법 연구: 중학교 2학년 패널의 경우)

  • Park, Min-Gue;Lee, Kyeong-Sang;Park, Hyun-Soo;Kang, Hyun-Cheol
    • Survey Research
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    • v.12 no.3
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    • pp.173-186
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    • 2011
  • We introduced the methodologies used to construct the longitudinal weights and cross-sectional weight that are required for the analysis of Korea Youth Panel Survey. To analyze the longitudinal dynamic change of the population, we derived the longitudinal weight through nonresponse adjustment based on logistic regression and post-stratification. Cross-sectional weights that are necessary to produce an asymptotically unbiased estimator of the population parameter were constructed through simple nonresponse adjustment based on overall response rate and post-stratification.

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Design-based Variance Estimation under Stratified Multi-stage Sampling (층화 다단계 샘플링에서 설계 기반 분산추정)

  • 김규성
    • Survey Research
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    • v.2 no.1
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    • pp.59-71
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    • 2001
  • We investigate design-based variance estimation methods of homogeneous linear estimator for population total under stratified multi-stage sampling. One method is unbiasedly estimating the first stage variance and the second stage variance separately in each stratum. And another is sub-sampling method that estimating the first stage variance only by using sub-sample selected from the second stage sample so that resulting estimator is unbiased for the total variance. The first is useful when the second stage unbiased estimator is available and the second is when the second stage variance is not estimable. For each case, we proposed a form of non-negative unbiased variance estimator. We expect the proposed variance estimation methods can be effectively used for many practical surveys.

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A Study on the Efficiency of the BLS Nonresponse Adjustment According to the Correlation and Sample Size (상관관계와 표본 크기에 따른 BLS 무응답 보정의 효율성 비교)

  • Kim, Seok;Shin, Key-Il
    • 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.

The Weighting Adjustment of Korea Welfare Panel Study

  • Son, Chang-Gyun;Ryu, Je-Bok;Hong, Gi-Hak;Lee, Gi-Seong
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2006.12a
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    • pp.11-40
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    • 2006
  • 시간의 흐름에 따라 사회 구성원들에 대한 행태 연구나 사회의 변화가 개인의 행동양식에 미치는 영향 등에 대한 조사에서는 어느 한 시점에서의 구성원들에 대한 횡단면 조사와는 다르게 다년간 지속적으로 조사개체를 추적조사 해야 하는 종단면 조사 또는 패널조사를 수행해야 한다. 패널조사는 횡단면 조사와는 달리 최초 표본이 시간이 지남에 따라 조사 대상 표본으로부터 탈락함으로서 발생하는 표본의 마모와 그에 따른 대표성 상실의 문제이다. 그러므로 이러한 표본의 대표성 상실 문제를 적절히 해결하기 위해 적용 가능한 방법이 가중치 조정 방법이다 횡단면 조사에서는 (1)추출가중치의 조정, (2)무응답 가중치 조정, (3)사후층화 가중치 조정과 같이 3단계의 가중치 조정과정을 수행하지만, 패널 조사의 경우 이와 더불어 원 표본의 대표성을 유지하기 위해 종단면 가중치(longitudinal weight)를 함께 고려해야 한다. 이러한 관점에서 본 연구에서는 다양한 패널형태에 따른 가중치 조정 방법에 대해 고찰하고, 향후 수행될 한국복지패널(Korea Welfare Panel Study: KWPS)의 가중치 산정에 관한 이론적 근거를 마련함과 동시에 현재 국내에서 수행되고 있는 패널조사의 가중치 조정방법과 비교하고자 한다.

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Survey Design of the Workplace Panel Survey in Korea (사업체패널조사의 조사설계)

  • Lee, Kee-Jae;Kim, Hye-Won;Kim, Sue-Jin;Kim, Ki-Min;Lee, Yong-Hee
    • Survey Research
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    • v.9 no.3
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    • pp.71-91
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    • 2008
  • Workplace Panel Survey(WPS) is the representative panel survey of workplace in Korea. WPS was newly sampled in 2005 and is to be used for the subsequent biennial survey. The main survey is divided into a questionnaire for human resources(HR) manager, a questionnaire for labor relations manager and a questionnaire for representatives of unions. The population of WPS 2005 included workplaces across the country with 30 or more employees. The WPS 2005 was composed of 1,905 workplaces including 290 workplaces in the public sector. The sample was selected by the stratified random sampling. Weighting process for the survey data was introduced to compensate for differential sampling and non-response rates. Personal interviews were conducted using the Computer Assisted Personal Interviewing(CAPI) system during visits by interviewers, along with survey via mail and e-mail concerning employment and financial issues. The CPAI system introduced for the WPS 2005 can by used for automatical detection for errors and inconsistencies which may occur during the survey process. The CAPI system played an important part in enhancing the reliability of the survey data.

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A sample survey design for service satisfaction evaluation of regional education offices (지역교육청 수요자 만족도조사를 위한 표본설계에 관한 연구)

  • Heo, Sun-Yeong;Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.669-679
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    • 2010
  • A sample survey design is suggested for the service satisfaction evaluation of regional education offices based on the sample size of 2009 Gyeongnam regional education offices's customer satisfaction survey. The sample design is developed to fit the goal of evaluation of individual regional offices and allocate at least the minimum sample size to each city or county in Gyeongnam to achieve the goal of the survey. The population is stratified according to the regions and the types of schools, and the sample of schools is selected with proportional to the size of classes within each stratum. Finally, each sample student is selected according to two-stage cluster sampling within each sample school. Weighting averages, weighting totals and so on can be evaluated for analysis purposes. Their variance estimates can be evaluated using re-sampling methods like BBR, Jackknife, linearization-substitution methods, which are generally used for the data from a complex sample.

The Weighting Adjustment for Unit Nonresponse in the Stratified Sampling (층화 표본에서 단위 무응답에 대한 가중치 조정 방법)

  • 염준근;손창균
    • Journal of Korean Society for Quality Management
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    • v.26 no.3
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    • pp.82-99
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    • 1998
  • In sampling survey the nonresponse reduces the precision of the estimator becuase of the nonresponse bias of the estimator. Deville, et al.(1993) considered the generalized raking procedure with the auxiliary information under five distance measures for reducing the nonresponse bias of the estimator. This paper extends the classical weighting adjustment of Deville, et al.(1993) to the stratified sampling case with three among five measures.

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층화유한모집단 평균에 대한 경험적 베이즈 추정

  • 신민웅;신기일
    • Communications for Statistical Applications and Methods
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    • v.2 no.1
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    • pp.155-165
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    • 1995
  • 초모집단(superpopulation)으로 부터 반복적으로 유한모집단을 추출할 때, 이미 조사된 자료들을 이용하면 현재의 유한모집단 모수들을 ㄷ더 효율적으로 추정할 수 있다. 이러한 문제에 대하여 Ericson(1969)이 유한모집단 표본추출에서 베이지안 분석을 하였고, Ghosh와 Meeden(1986)은 정규 초모집단을 가정하여 유한모집단 평균의 경험적 베이즈 추정을 하였다. Nandram과 Sedransk (1993)는 Ghosh와 Meeden(1986)의 유한모집단들의 분산이 모두 같다는 가정들을 완화하여 유한집단 평균의 경험적 베이즈 추정을 하였다. 본 연구는 Nandram과 Sedransk의 결과를 층과표본추출의 경우로 일반화 하였다.

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