• Title/Summary/Keyword: 비모수검정

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Review of Nonparametric Statistics by Neyman-Pearson Test and Fisher Test (Neyman-Pearson 검정과 Fisher 검정에 의한 비모수 통계의 고찰)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2008.04a
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    • pp.451-460
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    • 2008
  • This paper reviews nonparametric statistics by Neyman-Pearson test and Fisher test. Nonparametric statistics deal with the small sample with distribution-free assumption in multi-product and small-volume production. Two tests for various nonparametric statistic methods such as sign test, Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Mood test, Friedman test and run test are also presented with the steps for testing hypotheses and test of significance.

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Testing the Equality of Several Correlation Coefficients by Permutation Method

  • Um, Yonghwan
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.6
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    • pp.167-174
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    • 2022
  • In this paper we investigate the permutation test for the equality of correlation coefficients in several independent populations. Permutation test is a non-parametric testing methodology based upon the exchangeability of observations. Exchangeability is a generalization of the concept of independent, identically distributed random variables. Using permutation method, we may construct asymptotically exact test. This method is asymptotically as powerful as standard parametric tests and is a valuable tool when the sample sizes are small and normality assumption cannot be met. We first review existing parametric approaches to test the equality of correlation coefficients and compare them with the permutation test. At the end, all the approaches are illustrated using Iris data example.

Comparison of Edge Detection using Linear Rank Tests in Images (영상에서 선형순위검정법을 이용한 에지검출 비교)

  • Lim Dong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.17-26
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    • 2005
  • In this paper we propose three nonparametric tests such as Wilcoxon test, Median test and Van der Waerden test, based on linear rank statistics for detecting edges in images. The methods used herein are based on detecting changes in gray-levels obtained using an edge-height parameter between two sub-regions in a 5$\times$5 window We compare and analysis the performance of three statistical edge detectors in terms of qualitative measures with the edge maps and objective, quantitative measures.

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A nonparametric sequential test based on observations in groups (집단관측치에 의한 비모수적 축차검정에 관한 연구)

  • 박창순
    • The Korean Journal of Applied Statistics
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    • v.1 no.2
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    • pp.66-81
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    • 1987
  • A new nonparametric sequential testing procedure is proposed in the paper. Sequential observations are divided into equally sized groups and a nonparametric statistic, which is appropriate for testing the given hypotheses, is obtained from each group. Then Wald's sequential test is applied for the case where the log probability ratio statistic is replaced by the nonparametric statistic. The properties of such test are evaluated approximately by the Wiener process.

Correlation Coefficients between Parametric and onparametric Test Statistics for Signal Detection Problems (신호 검파 문제에 쓰는 모수와 비모수 검정 통계량 사이의 상관계수)

  • Park So Ryoung;Kwon Hyoungmoon;Bae Jinsoo;Choi Sang Won;Lee Jumi;Song Iickho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6C
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    • pp.541-550
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    • 2005
  • In this paper, we address the derivation of joint distributions and correlation coefficients for four pairs of statistics used commonly in a number of signal detection schemes. The upper and lower bounds of the correlation coefficients are obtained, and interesting relationships between the correlation coefficients are derived. Explicit values of the correlation coefficients are given in the form of tables and figures for easy reference. The results in this paper should be useful in comparing various detection statistics.

Statistical Testing of the Randomness and Estimation of the Degree of for the Concentration Earthquake Occurrence in the Korean Peninsula (한반도 지진발생의 무작위성에 대한 통계적 검정과 집중도 추정)

  • Kim, Sung-Kyun;Baek, Jang-Sun
    • Journal of the Korean earth science society
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    • v.21 no.2
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    • pp.159-167
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    • 2000
  • We tested the randomness and estimated the degree of concentration for the earthquake occurrence in the Korean Peninsula by using the statistical methods for spatial data. For the randomness test, we applied both of the test statistics based method and the empirical distribution based method to the both of historical and instrumental seismicity data. It was found that the earthquake occurrences for historical and instrumental seismicity data are not random and clustered rather than scattered. A nonparametric density estimation method was used to estimate the concentration degree in the Peninsula. The earthquake occurrences show relatively high concentration on Seoul, Choongnam, Chonbook and Kyungbook areas for the historical seismicity data. Also,'L" shaped concentrations connecting Whanghaedo -the coast of Choongnam -the inland of Kyungbook area are revealed for the instrumental seismicity data.

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Nonparametric Estimation of Wage Equation and Return to Seniority (임금함수와 근속급의 비모수적 추정)

  • Jang, Insong
    • Journal of Labour Economics
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    • v.36 no.2
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    • pp.37-65
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    • 2013
  • This study compares the return to seniority and experience among different groups of workers. Skilled workers in large company appear to enjoy the biggest seniority premium, while non-regular workers and small company workers hardly have any. Trade union did not have significant effect. Return to experience increased especially in large firms. Nonparametric model specification test shows that the biases for returns to seniority and experience of 30 years to be between -25~29%, and -42%~6%, respectively.

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Correlation Coefficients between Some Nonparameric Statistics Used for Signal Detection (신호 검파에 알맞은 비모수 통계량 사이의 상관 계수)

  • Joo, Hyun;Song, Iick-Ho;Bae, Jin-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.7C
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    • pp.633-641
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    • 2005
  • In this paper, we address the derivation of joint distributions and correlation coefficients for three pairs of statistics used commonly in a number of signal detection schemes. The upper and lower bounds of the correlation coefficients for the three pairs are obtained, and interesting relationships between the correlation coefficients are derived. Explicit values of the correlation coefficients evaluated for some meaningful distributions are given in the form of tables and figures for easy reference. The results in this paper should be useful in comparing various detection statistics.

A concordance test for bivariate interval censored data using a leverage bootstrap (지렛대 붓스트랩을 이용한 이변량 구간 중도 절단 자료의 일치성 검정)

  • Kim, Yang-Jin
    • The Korean Journal of Applied Statistics
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    • v.32 no.5
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    • pp.753-761
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    • 2019
  • A test procedure based on a Kendall's τ statistic is proposed for the association of bivariate interval censored data. In particular, a leverage bootstrap technique is applied to replace unknown failure times and a classical adjustment method is applied for treating tied observations. The suggested method shows desirable results in simulation studies. An AIDS dataset is analyzed with the suggested method.

하청생산에서의 구매 및 생산과업에 관한 연구

  • 이규상
    • Korean Management Science Review
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    • v.6 no.2
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    • pp.27-49
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    • 1989
  • 본 논문은 우리나라 제조기업의 하청생산 관계에 있어서 구매와 생산시스템에 관한 연구를 대기업의 부품구입 구매과업과 중소기업의 생산과업을 각각 원가절감, 품질행상, 납기준수라 설정하고 이를 연구한 것이다. 세가지 생산과업 중 상대적으로 더 강조하는 기업을 원가절감 전략그룹, 품질향상 전략그룹, 납기준수 전략그룹이라 명명하고, 연구내용은 첫째 중소기업 생산과업과 대기업 구매과업과의 결합도를 분석하였다. 둘째 대기업의 중소기업에 대한 지원성과의 차이를, 세째 과업그룹간의 과업의 성과차이를 분석하였다. 이를 실증적으로 분석하기 위하여 서베이 조사방법을 이용하였는데, 연구대상 기업은 국내의 자동차, 전자.통신, 중장비.기계.조선업종의 세트조립 대기업에 부품과 원료를 공급하는 수급기업체 협의회 회원 중소기업으로 하였다. 중소기업의 업종은 금속, 기계, 장비 제조 및 화학, 석탄, 고무 및 프라스틱 제조인 등록 및 일반 법인이었고, 전국에서 112개 중소기업이 표본으로 추출되어 분석되었다. 연구가설들은 통계 패키지를 이용한 독립성 검정, 요인분석, 분산분석, 비모수 검정방법을 통하여 검정되었다.

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