• 제목/요약/키워드: two-sample test

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2×2 생물학적 동등성 시험 적정 피험자 수의 간단한 계산 방법 (One-step Sample Size Determination for 2×2 Bioequivalence Study)

  • 이영주;이홍재;김한결;오주희;신용준;김영지;김상년
    • Journal of Pharmaceutical Investigation
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    • 제39권3호
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    • pp.217-219
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    • 2009
  • There are several approaches to calculate a sample size for bioequivalence test. Among these approaches, sample sizes determination based on Schuirmann's two one-sided tests procedures has been used most popularly in case of 2${\times}$2 bioequivalence study. Here we proposed simple sample size table for conventional 2${\times}$2 bioequivalence test based on Schuirmann's two one-sided tests in accordance with Korean Guidelines for Bioequivalence Test. This table will allow researchers with a little statistical background to calculate the sample size for bioequivalence with easy process.

Testing Hypothesis for the Logistic Model with Estimated Parameters : Modified Tables of Cirticla Values for K-S Type Statistic

  • Hwang, Chung-Sun
    • Journal of the Korean Statistical Society
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    • 제13권1호
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    • pp.48-56
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    • 1984
  • This paper considers one-sample and two-sample test for the logistic function by means of Kolmororov-Smirnov type statistics. The standard tables used for the Kolmogorov-Smirnov test are valid only when the function is completely specified; but they are not valid if the parameters of function are estimated from the sample. This note presents modified tables for the Kolmogorov-Sminov type staistic. These tables can be used to test the hypothesis that a sample comes from a logistic function when shape parameter $(\alpha)$ and location parameter $(\beta)$ must be estimated from the sample by the method of maximum likelihood. Monte Carlo method is employed to calculate the criticla values of the test. The tables of the critical values are provided.

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고차원 자료의 재현성과 표본 수 (Reproducibility and Sample Size in High-Dimensional Data)

  • 서원석;최지아;정형철;조형준
    • 응용통계연구
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    • 제23권6호
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    • pp.1067-1080
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    • 2010
  • 임상시험을 위한 표본 수 산정방법에 대해 지금까지 많은 방법이 개발되었고 현재 국내외 임상시험 기관에서 이 방법들을 토대로 표본 수를 산정하고 있다. 하지만 마이크로어레이칩 을 이용한 실험에 필요한 표본 수 산정에 대한 연구는 아직 미비하여 제대로 이용되지 않고 있다. 본 연구의 목적은 마이크로어레이 실험에 필요한 표본 수를 산정하는 데 있어 실제 마이크로어레이 자료의 재현성에 대한 정보를 이용하여 그 지침을 제공하는데 있다. 재현성 비교에서는 5가지 검정방법 즉, Fold change, Two-sample t-test, Wilcoxon rank-sum test, SAM, LPE 방법 별로 재현성을 측정하였다. 발현 값의 표준화 방법에 있어서는 MAS5, RMA 두 가지로 세분화 하였으며 반복수에 따라 상위 20개 또는 100개 유전자에 대한 일치성도 측정하였다. 또한, 표본수를 산정하는데 있어 기존에 제시한 방법에 현실적인 정보를 이용하여 좀 더 세분화하여 실험에 필요한 표본수를 산정해 보았다.

야지 차량용 No Spin Differential의 평가방안 개발 및 시험평가에 관한 연구 (A Study on Development of Test Methodology and Test of No Spin Differential for Off-road Vehicle)

  • 편영식;장영도;박정현;조인호;이영춘
    • 한국자동차공학회논문집
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    • 제13권4호
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    • pp.32-38
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    • 2005
  • Two No Spin Differential(NSD) models were benchmarked for a project of Dual-Use Technology The Axiomatic approach was utilized to evaluate two models and to derive an evolutionary design from the evaluated results. Test methodology is developed and used to evaluate the mobility, steerability, durability and noise of the newly developed sample. The test results of NSD sample on the test methodology are very positive regarding functional performances.

영상에서 윈도우 배치에 따른 통계적 에지검출 비교 (Window Configurations Comparison Based on Statistical Edge Detection in Images)

  • 임동훈
    • Communications for Statistical Applications and Methods
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    • 제16권4호
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    • pp.615-625
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    • 2009
  • 본 논문에서는 영상의 에지검출을 하는데 사용되는 여러 가지 윈도우 배치(window configurations)하에서 통계학의 이표본 위치문제(two-sample location problem)에서 대표적인 Wilcoxon 검정과 T-검정에 기초한 에지검출법에 대해 논의하고자 한다. 영상의 에지검출하는데 윈도우 배치 선택은 에지검출 성능을 결정하는 중요한 요소이다. 본 논문에서 에지는 선택된 윈도우 배치 하에서 에지-높이 모수(edge-height parameter)를 사용한 에지 모형 하에서 두 근방 영역간의 유의한 차이가 있는지를 검정함으로서 결정한다. 영상 실험에서 윈도우 배치에 따른 통계적 검정에 의한 에지검출 성능은 에지 맵(edge map)을 통한 정성적인 비교와 객관적인 척도하에서 정량적인 비교 그리고 CPU 계산시간까지 고려하여 분석하였다.

이단계 그룹검사를 갖는 대기행렬모형의 분석 (Analysis of a Queueing Model with a Two-stage Group-testing Policy)

  • 양원석
    • 산업경영시스템학회지
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    • 제45권4호
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    • pp.53-60
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    • 2022
  • In a group-testing method, instead of testing a sample, for example, blood individually, a batch of samples are pooled and tested simultaneously. If the pooled test is positive (or defective), each sample is tested individually. However, if negative (or good), the test is terminated at one pooled test because all samples in the batch are negative. This paper considers a queueing system with a two-stage group-testing policy. Samples arrive at the system according to a Poisson process. The system has a single server which starts a two-stage group test in a batch whenever the number of samples in the system reaches exactly a predetermined size. In the first stage, samples are pooled and tested simultaneously. If the pooled test is negative, the test is terminated. However, if positive, the samples are divided into two equally sized subgroups and each subgroup is applied to a group test in the second stage, respectively. The server performs pooled tests and individual tests sequentially. The testing time of a sample and a batch follow general distributions, respectively. In this paper, we derive the steady-state probability generating function of the system size at an arbitrary time, applying a bulk queuing model. In addition, we present queuing performance metrics such as the offered load, output rate, allowable input rate, and mean waiting time. In numerical examples with various prevalence rates, we show that the second-stage group-testing system can be more efficient than a one-stage group-testing system or an individual-testing system in terms of the allowable input rates and the waiting time. The two-stage group-testing system considered in this paper is very simple, so it is expected to be applicable in the field of COVID-19.

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

  • 김선빈;이재원
    • 응용통계연구
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    • 제30권4호
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    • pp.513-528
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    • 2017
  • 두 표본 집단이 동일한 분포를 따르는지 비교하기 위해 분포무관 검정이 많이 사용된다. 하지만 여러 검정법을 체계적으로 비교한 연구가 존재하지 않아서 각 검정법의 특성을 고려하여 연구 상황에 맞는 검정법을 선택하기가 어려웠다. 본 연구에서는 이표본 분포 동일성 검정에 해당하는 여러 분포무관 검정법들을 소개하고 체계적인 모의실험을 통해 그 성능을 비교하고자 한다. 두 표본이 각각 (1) 위치, (2) 척도, (3) 왜도, (4) 첨도, (5) 꼬리가중치가 다른 분포에서 추출된 상황에 대해 실험하였다. 실험 결과를 바탕으로 이표본 분포 동일성 검정법 사용에 대한 실용적인 지침을 제시하려고 한다.

Permutation Analysis of Split-Half Reliability Coefficient

  • Um, Yonghwan
    • 한국컴퓨터정보학회논문지
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    • 제22권7호
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    • pp.133-139
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    • 2017
  • In this paper, we describe a permutation procedure in which we compute a resampling probability value and empirical quantile limits for Split-Half measure of internal reliability. We use the Split-Half reliability coefficient given by two simple methods, the Spearman-Brown formula and the two-part coefficient alpha. The use of a permutation test for Split-Half reliability coefficient is highlighted as a valuable tool when the sample sizes are small and necessary assumptions cannot be met. The permutation tests for Split-Half reliability coefficient are illustrated with an example analysis of two survey data with a sample size of 15 and 35, respectively, and a hypothetical data with a sample size of 5.

A Two Sample Test for Functional Data

  • Lee, Jong Soo;Cox, Dennis D.;Follen, Michele
    • Communications for Statistical Applications and Methods
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    • 제22권2호
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    • pp.121-135
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    • 2015
  • We consider testing equality of mean functions from two samples of functional data. A novel test based on the adaptive Neyman methodology applied to the Hotelling's T-squared statistic is proposed. Under the enlarged null hypothesis that the distributions of the two populations are the same, randomization methods are proposed to find a null distribution which gives accurate significance levels. An extensive simulation study is presented which shows that the proposed test works very well in comparison with several other methods under a variety of alternatives and is one of the best methods for all alternatives, whereas the other methods all show weak power at some alternatives. An application to a real-world data set demonstrates the applicability of the method.

Goodness-of-Fit-Test from Censored Samples

  • Cho, Young-Suk
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.41-52
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    • 2006
  • Because most common assumption is normality in statistical analysis, testing normality is very important. The Q-Q plot is a powerful tool to test normality with full samples in statistical package. But the plot can't test normality in type-II censored samples. This paper proposed the modified the Q-Q plot and the modified normalized sample Lorenz curve(NSLC) for normality test in the type-II censored samples. Using the two Hodgkin's disease data sets and the type-II censored samples, we picture the modified Q-Q plot and the modified normalized sample Lorenz curve.

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