• 제목/요약/키워드: Simple sampling

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임분재적(林分材積) 추정(推定)에 관(關)한 비교연구(比較硏究) (Comparative Studies on the Estimation of Stand Volume)

  • 이종락
    • 한국산림과학회지
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    • 제46권1호
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    • pp.29-43
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    • 1980
  • 본조사지역(本調査地域)에 적용(適用)된 표본조사법(標本調査法)은 임분구성상태(林分構成狀態)를 고려(考慮)하여 단순무작위추출법(單純無作爲抽出法), 계순적추출법(系純的抽出法) 및 부차추출법(副次抽出法) 등(等)이었다. 표본점수(標本點數)의 산출(算出)을 위(爲)하여 변이계수(變異係數)는 40%를 적용(適用)하였으며 그 결과(結果) 단순무작위추출법(單純無作爲抽出法) 및 계순적추출법(系純的抽出法)에서는 공(共)히 57개소(個所)의 표본점수(標本點數)를 산출(算出)하였다. 그러나 부차추출법(副次抽出法)에서는 전림(全林)에서 1차(次)로 5개소(個所)의 Block unit, 2차(次)로 4개소(個所)의 Major unit, 3차(次) 2개소(個所)의 Minor unit를 추출(抽出)하여 소요(所要) 표본점수(標本點數)를 40개소(個所)로 하였다. 전림추정재적(全林推定材積) 및 전림실측재적(全林實測材積)을 구(求)하여 비교검토(比較檢討)한 결과(結果)는 다음과 같다. 1. 표본조사방법별(標本調査方法別)로 추정오차율(推定誤差率)을 비교(比較)한 결과(結果) 단순무작위추출법(單純無作爲抽出法)이 9.24%, 계통적(系統的) 추출법(抽出法)이 8.36%, 부차추출법(副次抽出法)이 7.54%의 순(順)으로서 부차추출법(副次抽出法)이 가장 높은 정도(精度)를 나타냈다. 2. 전림실측재적(全林實測材積)과 각(各) 표본조사법(標本調査法)에 의(依)한 전림추정재적(全林推定材積)과의 오차율(誤差率)을 비교(比較)한 결과(結果) 단순무작위추출법(單純無作爲抽出法)이 7.92%, 계통적추출법(系統的抽出法)이 4.18%, 부차추출법(副次抽出法)이 0.39%의 순(順)으로서 이때에도 역시(亦是) 부차추출법(副次抽出法)이 가장 높은 정도(精度)를 나타냈다. 3. 이상(以上)과 같은 여러가지 결과(結果)를 종합적(綜合的)으로 통계분석(統計分析)하여 비교검토(比較檢討) 해볼 때 본(本) 조사지역(調査地域)에서는 부차추출법(副次抽出法)이 가장 정도(精度)가 높은 결과(結果)를 얻었으며 표본점(標本點)의 추출(抽出) 개소수(個所數)도 가장 적게 이용(利用)되었으므로 시간(時間), 노력(努力) 및 조사경비(調査經費)가 타방법(他方法)에 비(比)하여 절감(節減)될 수 있는 기초적(基礎的)인 결과(結果)가 나타났다고 사료(思料)되며 삼림조사법(森林調査法)으로는 부차추출법(副次抽出法)이 가장 이상적(理想的)인 방법(方法)으로 구명(究明)되었다.

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An Optimal Scheme of Inclusion Probability Proportional to Size Sampling

  • Kim Sun Woong
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.181-189
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    • 2005
  • This paper suggest a method of inclusion probability proportional to size sampling that provides a non-negative and stable variance estimator. The sampling procedure is quite simple and flexible since a sampling design is easily obtained using mathematical programming. This scheme appears to be preferable to Nigam, Kumar and Gupta's (1984) method which uses a balanced incomplete block designs. A comparison is made with their method through an example in the literature.

Is Simple Random Sampling Better than Quota Sampling? An Analysis Based on the Sampling Methods of Three Surveys in South Korea

  • Cho, Sung Kyum;Jang, Deok-Hyun;LoCascio, Sarah Prusoff
    • Asian Journal for Public Opinion Research
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    • 제3권4호
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    • pp.156-175
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    • 2016
  • This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea's Omnibus Survey (Survey A) is conducted every two months by Gallup Korea; the annual Social Survey (Survey B) is conducted by Statistics Korea (KOSTAT); the Korean General Social Survey (KGSS or Survey C) is conducted annually by the Survey Research Center (SRC) at Sungkyunkwan University (SKKU). Survey A uses quota sampling after randomly selecting the neighborhood and initial addresses; Survey B uses random sampling, but allows replacements in some situations; Survey C uses simple random sampling. Data from more than one year was used for each survey. Our analysis suggests that Survey B is the most representative in most respects, and, in some respects, Survey A may be more representative than Survey C. Data from Survey C was the least stable in terms of representativeness by geographical area and age. Single-person households were underrepresented in both Surveys A and C, but the problem was more severe in Survey A. Four-person households and married persons were both over-represented in Survey A. Less educated people were under-represented in both Survey A and Survey C. There were differences in income level between Survey A and Survey C, but income data was not available for Survey B or the census, so it is difficult to ascertain which survey was more representative in this case.

초음파 영상 시스템에서 디지탈 Beam Forming을 위한 개선된 2차 샘플링 방법 (An Improved Second-odrer Sampling Method for Digital Beam Forming in Ultrasound Imaging Systems)

  • 조완희;안영복
    • 전자공학회논문지B
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    • 제32B권1호
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    • pp.110-119
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    • 1995
  • The lateral resolution in an ultrasound imaging system is one of the most important factors for quality of the image and is determined by the beam focusing. For the better lateral resolution SDF(Sampled Delay Focusing) capable of digital focusing was proposed. The second-order sampling, one of band-width sampling methods, is suggested as being the best suitable for SDF because it allows total digital processing and is simple and economical. By proving that it introduces too much error, this article shows the second-order sampling is not appropriate for sampling of the wide-band signal generally used in ultrasound imaging systems. Also, this article suggests new sampling methods that maintain the advantages and reduce the unavoidable errors of the second-order sampling method. From computer simulation it is expected that the proposed methods reduce the errors of the second-order sampling method and can be used in real applications.

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Folded Ranked Set Sampling for Asymmetric Distributions

  • Bani-Mustafa, Ahmed;Al-Nasser, Amjad D.;Aslam, Muhammad
    • Communications for Statistical Applications and Methods
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    • 제18권1호
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    • pp.147-153
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    • 2011
  • In this paper a new sampling procedure for estimating the population mean is introduced. The performance of the new population mean estimator is discussed, along with its properties, and it is shown that the proposed method generates an unbiased estimator. The relative efficiency of the suggested estimator is computed, in regards to the simple random sample(SRS), and comparisons are made to the ranked set sampling(RSS) and extreme ranked set sampling(ERSS) estimators used for asymmetric distributions. The results indicate that the proposed estimator is more efficient than the estimators based on the ERSS. In addition, the folded ranked set sampling(FRSS) procedure has an advantage over the RSS and ERSS in that it reduces the number of unused sampling units.

워크 샘플링 관측시각 결정방법에 관한 연구 (A Study on the Methods for Determining Observation Times of work Sampling)

  • 고용해;김경호
    • 산업경영시스템학회지
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    • 제8권11호
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    • pp.85-95
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    • 1985
  • This thesis is a study on the work sampling method which is one of the important parts in the fields of work measurement today. The primary objective of this study is to examine various methods of selecting observation times in work sampling studies, including simple random systematic, and stratified sampling and a new method called restricted random sampling. The attribute of these sampling methods are explained, particulary statistical efficiency, and the important advantages of stratification are analysed. A case study of work sampling was made in a manufacturing plant to show its practical application and the effectiveness of the stratified random sampling technique.

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수동적 인터넷 측정을 위한 샘플링 기법 비교: 사례 연구를 통한 검증 (Comparison of Sampling Techniques for Passive Internet Measurement: An Inspection using An Empirical Study)

  • 김정현;원유집;안수한
    • 대한전자공학회논문지TC
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    • 제45권6호
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    • pp.34-51
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    • 2008
  • 인터넷이 일상생활에서 중요한 위치를 차지함에 따라 인터넷에서 발생되는 트래픽의 특성을 밝히는 것은 매우 중요한 연구과제로 주목을 받고 있다. 그러나 인터넷 트래픽은 대용량이므로 쉽게 다룰 수 없다. 이러한 문제는 인터넷 트래픽 측정 연구에 가장 큰 장애다 많은 연구자들은 다양한 샘플링 기법을 통해 트래픽을 다를 수 있는 양으로 샘플링하여 분석하고 있다. 본 연구에서는 기존의 인터넷 측정 연구에서 사용된 샘플링 기법을 비교 분석하고, 가장 효과적인 샘플링 방안을 제시하고자 한다. 연구에 비교 사용된 샘플링 기법은 규칙적 샘플링, 단순 랜덤 샘플링, 층화 샘플링이며, 샘플링 단위는 1/10, 1/100, 1/1000을 사용하였다. 분석한 항목은 트래픽 크기 분석, 엔트로피 분석, 패킷 크기 분석이다. 단순 랜덤 샘플링은 무난한 결과를 보였고, (간격을 패킷 개수로 설정한) 규칙적 샘플링은 대상과 샘플링 강도에 상관없이 고른 결과를 보였다. 한편, 간격을 시간으로 설정한 규칙적 샘플링은 매우 좋지 않을 결과를 나타내었다. 전송층 프로토콜을 기준으로 층화 샘플링 수행할 경우 더욱 좋은 결과를 얻을 수 있었다. 연구 결과를 통해 샘플링 기법이 시간에 따른 트래픽의 흐름을 얼마나 잘 유지하는가가 샘플링 성능을 좌우함을 알 수 있었다. 또한 엔트로피 분석은 샘플링에 강하고, 이상 트래픽 탐지에 매우 적절함이 확인되었다. 그러나 병목 현상에 의한 트래픽 크기 감소는 잘못된 엔트로피 분석 결과를 유발할 수 있음을 발견하였다. 마지막으로, 패킷 크기 분포는 패킷 샘플링 방식이나 강도에 영향을 받지 않음을 발견하였다.

Ranked-Set Sample Wilcoxon Signed Rank Test For Quantiles Under Equal Allocation

  • Kim, Dong Hee;Kim, Hyun Gee
    • Communications for Statistical Applications and Methods
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    • 제10권2호
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    • pp.535-543
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    • 2003
  • A ranked set sample version of the sign test is proposed for testing hypotheses concerning the quantiles of a population characteristic by Kaur, et. al(2002). In this paper, we proposed the ranked set sample Wilcoxon signed rank test for quantiles under equal allocation. We obtain the asymptotic property and the asymptotic relative efficiencies of the proposed test statistic with respect to Wilcoxon signed rank test of simple random sample for quantiles under equal allocation. We calculate the ARE of test statistics, the proposed test statistic is more efficient than simple random sampling for all quantiles. The relative advantage of ranked set sampling is greatest at the median and tapers off in the tails.

비용을 고려한 계수치 2단계 샘플링 방법의 경제적 설계 (The Economic Design of Two-Stage Sampling Plan for Attributes)

  • 이경종;이상용
    • 품질경영학회지
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    • 제21권1호
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    • pp.35-43
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    • 1993
  • The principal objective of a sampling plan is to make efficient use of the budget allocated and to obtain as precise an estimate of a population parameter as possible. In order to estimate the proportion of defectives produced or to determine some measure of product Quality, it is necessary to select random samples which represent a population parameter of the process. In this case, the two stage sampling is more efficient and convenient than simple random sampling. Therefore this paper aims to propose the design procedures of two stage sampling plan to obtain a representative samples in considering the sampling precision under the restricted sampling unspection cost.

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Statistical notes for clinical researchers: simple linear regression 2 - evaluation of regression line

  • Kim, Hae-Young
    • Restorative Dentistry and Endodontics
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    • 제43권3호
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    • pp.34.1-34.5
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    • 2018
  • In the previous section, we established a simple linear regression line by finding the slope and intercept using the least square method as: ${\hat{Y}}=30.79+0.71X$. Finding the regression line was a mathematical procedure. After that we need to evaluate the usefulness or effectiveness of the regression line, whether the regression model helps explain the variability of the dependent variable. Also, statistical inference of the regression line is required to make a conclusion at the population level, because practically, we work with a sample, which is a small part of population. Basic assumption of sampling method is simple random sampling.