• 제목/요약/키워드: Small Sample

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Minimum Disparity Estimation for Normal Models: Small Sample Efficiency

  • Cho M. J.;Hong C. S.;Jeong D. B.
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.149-167
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    • 2005
  • The minimum disparity estimators introduced by Lindsay and Basu (1994) are studied empirically. An extensive simulation in this paper provides a location estimate of the small sample and supplies empirical evidence of the estimator performance for the univariate contaminated normal model. Empirical results show that the minimum generalized negative exponential disparity estimator (MGNEDE) obtains high efficiency for small sample sizes and dominates the maximum likelihood estimator (MLE) and the minimum blended weight Hellinger distance estimator (MBWHDE) with respect to efficiency at the contaminated model.

소표본인 경우 비모수 순위척도를 이용한 정규성 검정 (Normality Tests Using Nonparametric Rank Measures for Small Sample)

  • 이창호;최성운
    • 대한안전경영과학회지
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    • 제10권3호
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    • pp.237-243
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    • 2008
  • The present study proposes two normality tests using nonparametric rank measures for small sample such as modified normal probability paper(NPP) tests and modified Ryan-Joiner Test. This research also reviews various normality tests such as $X^2$ test, and Kullback-Leibler test. The proposed normality tests can be efficiently applied to the sparsity tests of factor effect or contrast using saturated design in $k^n$ factorial and fractional factorial design.

An Improved Method for Constructing Confidence Interval of Median : Small Sample Case

  • Park, Sang-Gue;Choi, Ji-Yun
    • Journal of the Korean Data and Information Science Society
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    • 제15권4호
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    • pp.973-980
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    • 2004
  • Phase I clinical trials are often pharmacologically oriented and usually attempt to find the best dose of drug to employ. However, other purposes like determination of sizes and types of side effects and toxicity and organ system involved are equally important. Estimation of treatment effects or side effects is usually ignored since it is usually based on too small sample, even though Phase II clinical trials would be designed based on the Phase I studies. Statistical methods for constructing the approximate confidence interval for population median in case of small sample are considered and an improved method is proposed. The proposed estimator is compared with current methods through simulation studies.

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공정 중심의 검사 방식에 대한 로트 품질보증 및 검사비용 추정 시스템 개발 (Development of A Lot Quality Assurance and Inspection Cost Estimation System for Process-Centered Inspections)

  • 이도경;이승우
    • 산업경영시스템학회지
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    • 제29권1호
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    • pp.34-40
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    • 2006
  • Many producers put sampling inspection policy into the way of their convenience. Examples of the convenience are irregular lot size and too small sample size. Because they don't use a standard sampling inspection policy, they can not guarantee the quality level of their products. In this study, we developed a user-centered design program which can calculate the AOQL of their products to their buyers in the case of irregular lot size and too small sample size. Also this program propose a linear inspection cost by Hald's model.

Small sample likelihood based inference for the normal variance ratio

  • Lee, Woo Dong
    • Journal of the Korean Data and Information Science Society
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    • 제24권4호
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    • pp.911-918
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    • 2013
  • This study deals with the small sample likelihood based inference for the ratio of two normal variances. The small sample likelihood inference is an approximation method. The signed log-likelihood ratio statistic and the modified signed log-likelihood ratio statistic, which converge to standard normal distribution, are proposed for the normal variance ratio. Through the simulation study, the coverage probabilities of confidence interval and power of the exact, the signed log-likelihood and the modified signed log-likelihood ratio statistic will be compared. A real data example will be provided.

고재(古材)의 구조(構造)와 수종식별(樹種識別)(제(第) 1 보(報)) -제주도지방(濟州道地方)에 있어서 조선시대(朝鮮時代)의 목조건축재(木造建築材)- (Structure and Identification of Ancient Wood (I) -Construction Wood of Yi-dynasty m Jeju Province-)

  • 박상진
    • Journal of the Korean Wood Science and Technology
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    • 제6권1호
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    • pp.15-23
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    • 1978
  • This report observed for anatomical structure and identified species of small wood debris collected at Chungi-Hyankyo, Yunbuk-Chung, Jeju-Hyankyo, Teachung-Hyangkyo and Kwanduk-Chung in Jeju province constructed in a central period of Yi-dynasty, and now named as local cultral assets. 1. Sample of Chungi-Hyangkyo is gymnosperm with window-like pit, axial and radial cannal & dentate ray tracheid. This sample with identified with Pinus densiflora or Pinus thunbergii. 2. Samples of Yunbuk-Chung and Jeju-Hyangkyo are diffuse porous wood having small vessels with scalariform perforation plates scattered almost equally in annual ring, possess heterogenus ray parenchyma & banded apotracheal parenchyma. This sample is identified with Distylium racemosum. 3. Sample of Teachung-Hyangkyo is ring porous wood composed of big vessels of pore zone and compound vessels outside pore zone. It also has simple perforation plates, tylosis, homogenlls uniseriate ray parenchyma & diffuse parenchyma This sample is identified with Castanopsis cuspidata. 4. Sample of kwanduk-Chung is ring porous wood composed of big vessels of pore zone and compound vessels outside pore zone. It has simple perforation plates, heterogenus ray parenchyma, crystal, vasicentric parenchyma. This sample is identified with Zelkova serrata.

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소지역 추정방법을 이용한 실업자 수 추정 사례연구 (Estimation of the Number of the Unemployed Using Small Area Estimation Methods)

  • 권세혁
    • 한국조사연구학회지:조사연구
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    • 제10권1호
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    • pp.141-154
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    • 2009
  • 정보화 사회에서는 목표지향적이고 세분화된 통계의 필요성이 높아지고 있으나 현재 사용되는 조사체계를 이용하면 추정 분산이 커져 생산된 통계의 정확도가 낮아진다. 표본크기를 늘리면 추정분산을 줄일 수 있으나 비용이나 시간 면에서는 비효율적이다. 현재와 비슷한 규모의 표본조사구 조사와 일반 행정통계를 이용하여 일정 신뢰수준을 갖춘 통계를 생산할 수 있는 소지역 추정법에 대한 연구가 진행되어 개발 적용되고 있다. 본 연구에서는 소지역 추정법을 활용하여 대전광역시의 5개 구별 실업자 수를 추정하고 추정치의 CV 값을 계산하여 추정방법의 효율성을 비교하는 사례분석을 실시하였다. 또한 합성추정량과 복합추정량의 MSE를 보다 정확하게 계산하는 방법으로 잭나이프 방법을 제안하고 계산방법을 보였다.

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중형 공진주 시험기를 이용한 보조도상 재료의 동적특성 정량화 (Evaluation of Dynamic Properties of Subballast Materials Used in Korea Using Midsize Resonant Column Test Apparatus)

  • 임유진;신중훈;박경수;박재학;황정규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 춘계학술대회 논문집
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    • pp.1214-1221
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    • 2011
  • It is an well-known fact that dynamic properties should be considered in design and maintenance of civil structures undergoing dynamic force such as rail track. For designing of the rail tack structures, dynamic properties of track bed soil such as shear modulus (G) and damping coefficients(D) obtained in small to medium range of shear strain must be known. In general, small size sample of D=5 cm and H=10cm has been used mostly for test convenience. However, ratio of largest particle diameter of the soil to sample diameter is very important and affects to the values of dynamic soil properties in track bed. In this study, an RC/TS test apparatus was built and was run for testing a medium size soil sample that can handle with compacted soil sample up to 10 cm diameter and 20 cm height.

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Estimation of Gini-Simpson index for SNP data

  • Kang, Joonsung
    • Journal of the Korean Data and Information Science Society
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    • 제28권6호
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    • pp.1557-1564
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    • 2017
  • We take genomic sequences of high-dimensional low sample size (HDLSS) without ordering of response categories into account. When constructing an appropriate test statistics in this model, the classical multivariate analysis of variance (MANOVA) approach might not be useful owing to very large number of parameters and very small sample size. For these reasons, we present a pseudo marginal model based upon the Gini-Simpson index estimated via Bayesian approach. In view of small sample size, we consider the permutation distribution by every possible n! (equally likely) permutation of the joined sample observations across G groups of (sizes $n_1,{\ldots}n_G$). We simulate data and apply false discovery rate (FDR) and positive false discovery rate (pFDR) with associated proposed test statistics to the data. And we also analyze real SARS data and compute FDR and pFDR. FDR and pFDR procedure along with the associated test statistics for each gene control the FDR and pFDR respectively at any level ${\alpha}$ for the set of p-values by using the exact conditional permutation theory.

Two-Sample Inference for Quantiles Based on Bootstrap for Censored Survival Data

  • Kim, Ji-Hyun
    • Journal of the Korean Statistical Society
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    • 제22권2호
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    • pp.159-169
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    • 1993
  • In this article, we consider two sample problem with randomly right censored data. We propse two-sample confidence intervals for the difference in medians or any quantiles, based on bootstrap. The bootstrap version of two-sample confidence intervals proposed in this article is simple to apply and do not need the assumption of the shift model, so that for the non-shift model, the density estimation is not necessary, which is an attractive feature in small to moderate sized sample case.

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