• Title/Summary/Keyword: 대치

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An Optimistic Algorithm of the Noise Reduction of an Image (화상의 잡음제거에 관한 최적화 알고리즘)

  • 신충호;오무송
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05c
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    • pp.254-256
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    • 2002
  • 기존의 윤곽선 검출윤곽선 검출방법과는 다른 본 논문에서는 효율적인 방법론을 이용해서 윤곽추출 및 잡음제거 방법론을 제안한다. 제안한 방법론은 전처리과정을 거친후 본 방법론을 적용함으로써 영상 윤곽추출률을 높이고자한다. 특히, 기존의 윤곽선 추출방법인 로버트와 라플라 시안방법을 사용한 후에 미디안 필터를 사용했으며, 제안한 방법은 기존의 윤곽선 추출 필터를 거친 후에 사용하였다. 구체적으로 서술하면 일정한 임계치를 초과하면 흰색으로 대치하고, 그렇치 않으면 검정색으로 대치한다. 기존의 잡음제거과정은 윤곽선 손실은 없었으나 잡음제거가 소량 이루어졌으며, 제안한 방법은 약간의 윤곽선 손실을 보였으나 완전하게 잡음을 제거시킬 수 있었다.

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A Comparison of Survival Distributions with Unequal Censoring Distributions (이질적인 중도절단분포 하에서 생존분포의 동일성 검정법 비교연구)

  • Song, Sujeong;Lee, Jae Won
    • The Korean Journal of Applied Statistics
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    • v.27 no.1
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    • pp.1-11
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    • 2014
  • The Weighted Logrank test and its special case, Logrank test are widely used to compare survival distributions; however, these methods are inappropriate when the sample size is small or censoring distributions are not equal since they use test statistics from approximate distributions. A permutation test can be an alternative for small sample cases; however, this should be used only when censoring distributions are equal. To handle cases with small sample size and unequal censoring distributions, the permutation-imputation method was developed to compare two survival distributions. In this paper, approximate method, permutation method and permutation-imputation method were compared using a Logrank test and Prentice-Wilcoxon test for three or more survival distributions comparison.

Review of Parameter Estimation Procedure of Freund Bivariate Exponential Distribution (Freund 이변량 지수분포의 매개변수 추정과정 검토)

  • Park, Cheol-Soon;Yoo, Chul-Sang
    • Journal of Korea Water Resources Association
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    • v.45 no.2
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    • pp.191-201
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    • 2012
  • This study reviewed the parameter estimation procedure of the Freund bivariate exponential distribution for the decision of the annual maximum rainfall event. The method of moments was reviewed first, whose results were compared with those from the method of maximum likelihood. Both methods were applied to the hourly rainfall data of the Seoul rain gauge station measured from 1961 to 2010 to select the annual maximum rainfall events, which were also compared each other. The results derived are as follows. First, when applying the method of moments for the parameter estimation, it was found necessary to consider the correlation coefficient between the two variables as well as the mean and variance. Second, the method of maximum likelihood was better to reproduce the mean, but the method of moments was better to reproduce the annual variation of the variance. Third, The annual maximum rainfall events derived were very similar in both cases. Among differently selected annual maximum rainfall events, those with the higher rainfall amount were selected by the method of maximum likelihood, but those with the higher rainfall intensity by the method of moments.