• 제목/요약/키워드: statistical sample survey

검색결과 461건 처리시간 0.026초

면적조사 및 생산량조사 표본설계 (A Study on the Sample Design for Crop Area Survey and Product Survey in Korea)

  • 박홍래
    • Journal of the Korean Statistical Society
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    • 제14권2호
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    • pp.100-117
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    • 1985
  • This paper describes an outline of the sampling design for crop area survey and product survey in Korea. The design attempts to from a double statification, to obtain an efficient allocation of the sample and to reduce the sampling error by establishign crop concentrated strata. The optimum numbers of sample field and sample plot are investigated. The design is made it possible to reduce the sampling errors as well as to reduce the sample size further than the present survey.

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전자상거래 통계조사 표본설계 (A Sample Design for the Statistical Survey of E-commerce)

  • 이기성;홍기학;손창균
    • 응용통계연구
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    • 제17권3호
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    • pp.393-402
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    • 2004
  • 본 연구에서는 통계청에서 매년 실시하고 있는 사업체 기초통계조사 자료를 조사모집단으로 하여 전자상거래 시장규모, e-비즈니스 투자규모 뿐만 아니라, 전자상거래 및 e-비즈니스 일반현황을 동시에 파악하기 위한 표본설계방안을 제안하고자 한다.

A Sampling Design of the Korean Anthropometric Survey

  • Park, Jinwoo;Kim, JinHo;Hwang, Inkeuk
    • Communications for Statistical Applications and Methods
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    • 제10권3호
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    • pp.707-718
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    • 2003
  • The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body and its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

A Sample Design for Forestry Management Survey

  • Lee, Kay-O;Yoo, Jeongbin
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.739-751
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    • 2001
  • In this paper, a sample design is studied for 2000 forestry management survey of five types forestry , tree felling, gathering of pine mushroom, growing of nut trees, growing of wild flowers, and lumbering industry. We introduce population stratification and a modified stratified cut-off sampling which deal with determination of sample size, sample allocation, and estimation of total and variance of estimator. Substitution of sample units and imputation of nonresponse units are discussed for reducing the nonsampling errors.

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A Note on Determination of Sample Size for a Likert Scale

  • Park, Jin-Woo;Jung, Mi-Sook
    • Communications for Statistical Applications and Methods
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    • 제16권4호
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    • pp.669-673
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    • 2009
  • When a social scientist prepares to conduct a survey, he/she faces the problem of deciding an appropriate sample size. Sample size is closely connected with cost, time, and the precision of the sample estimate. It is thus important to choose a size appropriate for the survey, but this may be difficult for survey researchers not skilled in a sampling theory. In this study we propose a method to determine a sample size under certain assumptions when the quantity of interest is measured by a Likert scale.

水산物 非系統생산量 調査에 關한 標本設計 (A Sampling Design on the Survey of Non-Consignment Fishery Products)

  • 朴弘來
    • Journal of the Korean Statistical Society
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    • 제9권2호
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    • pp.213-217
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    • 1980
  • This paper aimed at studying an efficient sampling design of the survey for non-consignment fishery products including both marine fisheries and seaculture. An analysis was done on the relationship between precision and sample size. On the basis of the analysis, the sample size was determined to be 1,080 fishery house holds with the expected precision of 4%-5%. The molluscs and seaculture were recognized to be correlated with the non-consignment products. An attempt was made to investigate the coverage of the fish kinds by the sample about 100 fish kinds were found in the 80 selected sample villages, whereas the population includes about 120 in total. This shows that the sample represents the population with satisfaction.

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통계청 가구표본설계 (Sample Redesign of Household Survey conducted by Korea National Statistical Office)

  • 윤연옥;이명호
    • 한국조사연구학회:학술대회논문집
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    • 한국조사연구학회 2003년도 춘계학술발표대회
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    • pp.69-84
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    • 2003
  • 통계청에서 매월 실시하는 주요 가구부문 경상조사에는 경제활동인구조사와 가계조사가 있다. 이 두 조사의 표본은 인구주택총조사 자료를 표본틀로하여 5년마다 개편되고 있다. 이 논문에서는 2000년 인구주택총조사를 바탕으로 2002년에 실행한 표본개편에 관한 내용이다.

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統計調査에 있어서 效率的標本設計와 誤差에 관한 硏究 (A study on the efficient sample design and the error in the statistical survey)

  • 김종호;남궁평;박홍래;이계오;이상우;함종욱
    • 응용통계연구
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    • 제3권1호
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    • pp.27-46
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    • 1990
  • 본 연구는 현행 작성되는 주요 통계를 분석하여 문제점을 제기하였고, 標本調査 실시를 위한 效率的標本設計를 위하여 基本原則을 제안함과 동시에 誤差發生의 原因과 管理를 위한 原則을 제시하였다. 또한 統計報告書形式을 標準化함으로써 統計利用者의 便益과 信賴性을 제고시키려고 하였다.

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A Sampling Design of the Agricultural Machine Estimated Sales Survey

  • Park, Jinwoo
    • Communications for Statistical Applications and Methods
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    • 제8권2호
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    • pp.375-382
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    • 2001
  • The agricultural machine estimated sales survey is a survey to estimate annual sales quantities of eight major agricultural machines such as tracter, combine, etc. The purpose of this study is to design a multipurpose sample for the agricultural machine estimated sales survey. Main achievements of this study are to present an efficient stratification criterion and to suggest a reasonable estimation method by using the concept of post-stratification.

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Chi-squared Tests for Homogeneity based on Complex Sample Survey Data Subject to Misclassification Error

  • Heo, Sunyeong
    • Communications for Statistical Applications and Methods
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    • 제9권3호
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    • pp.853-864
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    • 2002
  • In the analysis of categorical data subject to misclassification errors, the observed cell proportions are adjusted by a misclassification probabilities and estimates of variances are adjusted accordingly. In this case, it is important to determine the extent to which misclassification probabilities are homogeneous within a population. This paper considers methods to evaluate the power of chi-squared tests for homogeneity with complex survey data subject to misclassification errors. Two cases are considered: adjustment with homogeneous misclassification probabilities; adjustment with heterogeneous misclassification probabilities. To estimate misclassification probabilities, logistic regression method is considered.