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A Measure of Agreement for Multivariate Interval Observations by Different Sets of Raters
Um, Yong-Hwan Korean Data and Information Science Society 2004 한국데이터정보과학회지 Vol.15 No.4
A new agreement measure for multivariate interval data by different sets of raters is proposed. The proposed approach builds on Um's multivariate extension of Cohen's kappa. The proposed measure is compared with corresponding earlier measures based on Berry and Mielke's approach and Janson and Olsson approach, respectively. Application of the proposed measure is exemplified using hypothetical data set.
A Joint Agreement Measure Between Multiple Raters and One Standard
Um, Yong-Hwan The Korean Data and Information Science Society 2005 한국데이터정보과학회지 Vol.16 No.3
This article addresses the problem of measuring a joint agreement between multiple raters and a standard set of responses. A new agreement measure based on Um's approach is proposed. The proposed agreement measure is used for multivariate interval responses. Comparison is made between the proposed measure and other corresponding agreement measures using hypothetical data set.
Quantile Estimates of Seafood Consumption Data
엄용환 聖潔大學校 情報産業技術硏究所 1997 情報産業技術論叢 Vol.2 No.-
distribution free 방법과 density smoothing 기법을 이용해서 플로리다 지역 주민의 어패류 소비 자료에 대한 quantile 추정치를 계산한다. 각 어패류에 대한 평균, 중앙값, 사분율과 같은 기술통계치를 얻는다. 또한 성별, 인종별(white, noniohite)에 따라 마찬가지의 추정치를 얻어낸다. 각각의 추정치에 대한 95% 신뢰구간을 계산한다.
A Simulation Study for Multivariate Independence Tests
엄용환 聖潔大學校 自然科學硏究所 1996 自然科學硏究 Vol.1 No.-
Many statistics have been proposed for testing the correlation between two random variables. It is natural to consider the multivariate test for this problem involving random vectors. A new multivariate test based on interdirections is proposed for this purpose. A comparison is made among the proposed statistic, Wilks likelihood ratio criterion and a component-wise quadrant statistic via a simulation study. Monte Carlo results demonstrate that the proposed statistic performs better than other when the underlying distributions are heavy-tailed. Also an example shows the robustness of the proposed statistic.
On Assessing Inter-observer Agreement Independent of Variables' Measuring Units
Um, Yong-Hwan Korean Data and Information Science Society 2006 한국데이터정보과학회지 Vol.17 No.2
Investigators use either Euclidean distance or volume of a simplex defined composed of data points as agreement index to measure chance-corrected agreement among observers for multivariate interval data. The agreement coefficient proposed by Um(2004) is based on a volume of a simplex and does not depend on the variables' measuring units. We consider a comparison of Um(2004)'s agreement coefficient with others based on two unit-free distance measures, Pearson distance and Mahalanobis distance. Comparison among them is made using hypothetical data set.
A New Agreement Measure for Interval Multivariate Observations
Yong Hwan Um 한국데이터정보과학회 2004 한국데이터정보과학회지 Vol.15 No.1
This article presents a new measure of chance-corrected interobserver agreement among multivariate ratings of many observers. Modifying an approach by Berry and Mielke, a new agreement measure is proposed. The important modificaton is to use the volume of simplex composed of data points as the disagreement masure. The proposed measure accounts agreement for multivariate interval observations among many observers. Hypothetical and real-life data sets are analyzed for illustrative purpose.
A New Agreement Measure for Interval Multivariate Observations
Um, Yong-Hwan Korean Data and Information Science Society 2004 한국데이터정보과학회지 Vol.15 No.1
This article presents a new measure of chance-corrected interobserver agreement among multivariate ratings of many observers. Modifying an approach by Berry and Mielke, a new agreement measure is proposed. The important modificaton is to use the volume of simplex composed of data points as the disagreement masure. The proposed measure accounts agreement for multivariate interval observations among many observers. Hypothetical and real-life data sets are analyzed for illustrative purpose.