• Title/Summary/Keyword: 표본추출법

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Two-dimensional Controlled Selection with Marginal Constraints (주변제약을 갖는 이차원 관리적 선정)

  • 김종호;류제복;김선웅
    • The Korean Journal of Applied Statistics
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    • v.13 no.1
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    • pp.145-161
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    • 2000
  • 조사비용을 증대시키거나 조사실시에 어려움을 주는 바람직하지 않은 표본들의 추출확률을 줄여주기 위해서 Goodman과 Kish(1950)는 관리적 선정 방법을 제시하였다. 충화추출에서 표본의 수가 셀의 수보다 작은 경우 표본 배분에 문제가 발생한다. 이러한 문제를 해결하기 위해서 관리적 선정을 적용할 수 있는데 Causey 등 (1985)은 수송이론을 이용한 알고리즘을 제안하였고 Sitter와 Skinner(1994), Tiwaridh Nigam(1998)은 선형계획법을 이용하였다. 본 연구에서는 기존 방법들의 문제점들을 다루었으며 추출방법의 이론적 측면을 보완하기 위하여 표본들의 적합성을 고려한 관리적 선정을 제안한다. 아울러 분산을 최소화시키는 관리적 선정방법과 통합관리적 선정 방법도 제시하였다.

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An Overview of Exit Polls for the 2006 Local Elections (2006년 지방선거 출구조사 현황 및 예측오차)

  • Kim, Ji-Hyeon;Kim, Young-Won
    • 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.

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Efficient Estimation of the Mean for Populations with a Linear Trend : An Extension of Systematic Sampling (선형추세를 갖는 모집단에 대한 효율적인 모평균 추정 : 계통추출의 확장)

  • 김혁주;석은양
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.457-476
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    • 2000
  • In this study, we have proposed a sampling method and an estimation method for efficiently estimating the mean of a population which has a linear trend. These methods involve drawing a sample by the so-called "centered balanced systematic sampling", which is an extension of systematic sampling, and then estimating the population mean with an adjusted estimator, not with the sample mean itself. We used the concept of interpolation in determining the adjusted estimator.\Ve compared the efficiency of the proposed estimator with those of the estimators from existing methods, under the expected mean square error criterion based on the infinite superpopulation model introduced by Cochran(1946). The proposed method is for use in the case when the sample size n(2 5) is an odd number and k(the reciprocal of the sampling fraction) is an even number. A good result was also obtained in an example using computer simulation. simulation.

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Efficiency of Variance Estimators for Two-stage PPS Systematic Sampling (2단 크기비례 계통추출법의 분산추정량 효율성 비교)

  • Kim, Young-Won;Kim, Yeny;Han, Hye-Eun;Kwak, Eun-Sun
    • The Korean Journal of Applied Statistics
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    • v.26 no.6
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    • pp.1033-1041
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    • 2013
  • In this paper, we investigate several variance estimators for pps systematic sampling. Unfortunately, there is no unbiased variance estimators for a systematic sample because systematic sampling can be regarded as a random selection of one cluster. This study provides guidance on which variance estimator may be more appropriate than others in several circumstances. We judge the efficiency of variance estimators for systematic sampling based on of their relative biases and relative mean square error. Also, we investigate variance estimation problems for two-stage systematic sampling applied for the Food Raw Material Consumption Survey and the Establishment Labor Force Survey simulation study, in order to consider the popular two-stage pps systematic sample design for establishment and household survey in Korea.

A study on collecting representative food samples for the 10th Korean standard foods composition table (국가표준식품성분 데이터베이스 대표시료 선정을 위한 표본설계)

  • Kim, Jinheum;Hwang, Hae-Won;Cho, Yu Jung;Park, Jinwoo
    • 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.

A Optimal Cluster Size in Stratified Two-Stage Cluster Sampling (층화 2-단 표본 추출시 최적 집락의 크기 결정)

  • 신민웅;신기일
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.207-224
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    • 2000
  • Generally cluster size is predetermined when we use the stratified two-stage cluster sampling But in case that the sizes of clusters vary greatly one may want to make the sizes to be about equal. In this paper we study the optimal cluster size in stratified twostage cluster sampling. Also we find the optimal primary sampling unit sizes and optimal secondary sampling unit sizes under the given cost restriction.

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Power comparison of distribution-free two sample goodness-of-fit tests (이표본 분포 동일성에 대한 분포무관 검정법 간 검정력 비교 연구)

  • Kim, Seon Bin;Lee, Jae Won
    • The Korean Journal of Applied Statistics
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    • v.30 no.4
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    • pp.513-528
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    • 2017
  • Statistics are often used to test two samples if they have been drawn from the same underlying distribution. In this paper, we introduce several well-known distribution-free tests to compare distributions and conduct an extensive Monte-Carlo simulation to specify their behaviors. We consider various circumstances of when two distributions vary in (1) location, (2) scale, (3) symmetry, (4) kurtosis, (5) tail weight. A practical guideline for two-sample goodness-of-fit test is presented based on the simulation result.

Comparison of Estimation on Sample Survey: Focusing on Weight Adjustment (표본조사에 따른 추정방법 비교: 가중치 조정기법을 중심으로)

  • Lee, Sang-Eun
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.413-427
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    • 2008
  • In sample design, it is usually planned by purpose and the range of the announcing statistics from the survey. After survey, getting a proper and decent statistics, applying the proper weights on the results of survey is very important and necessary. Therefore in this study, three estimation methods which are raking, BLS and general linear regression method are compared with MSE, Coverage, CV, LE and NC.

Adaptive Searching Estimation in Stratified Spatial Sample design (적합탐색 관찰을 이용한 층화 공간표본설계에서의 추정)

  • 변종석
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.353-369
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    • 2000
  • We systematized an stratified spatial sample design(SSSD) that uses the adequate stratification criteria such as the shapeness or the dispersion of an interesting region in a spatial population. And we proposed an adaptive searching estimation method in the SSSD to estimate the area of region of interest in two-dimensional surfaces. When wc adopt the proposed adaptive searching estimation method in SSSD, the observing sample size is more decreased than a classical sample design that all the designed sample size is observed. Nevertheless it has been shown that we can produce the moderate result but the efficiency is a slight reduced.

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Face Recognition using Dimension Reduction Features based on Partial Least Squares (부분 최소제곱법 기반한 차원 축소 특징을 이용한 얼굴 인식)

  • Lee, Chang-Beom;Kim, Do-Hyang;Park, Hyuk-Ro;Baek, Jangsun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.745-748
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    • 2004
  • 얼굴 이미지의 대부분은 표본의 수보다 특징 변수의 수가 많기 때문에 이러한 점을 고려한 특징 추출 방법이 필요하다. 본 논문에서는 부분 최소제곱법을 이용하여 특징 벡터의 차원을 축소하는 방법을 제안한다. 전통적인 차원 축소 방법인 주성분 분석은 클래스의 정보를 고려하지 않고 최대 변이를 가지는 성분을 추출하기 때문에, 클래스의 구분에 필요한 특징을 필수적으로 추출하지 못한다. 이에 비해, 부분 최소제곱법은 클래스 변수에 대한 정보를 포함하여 성분을 추출한다. 그러므로, 분류를 하는데 있어서는 주성분 분석에 의해 추출된 성분보다는 부분 최소제곱법에 의해 추출된 성분이 보다 더 예측적이다. 맨체스터와 ORL 얼굴 데이터베이스를 이용하여 실험한 결과, 분류와 차원 축소 측면에서 주성분 분석 방법보다는 부분 최소제곱법을 이용한 방법이 그 성능이 우수함을 알 수 있었다.

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