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Barry C. Arnold
Researcher at University of California, Riverside
Publications - 180
Citations - 5967
Barry C. Arnold is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Joint probability distribution & Conditional probability distribution. The author has an hindex of 31, co-authored 180 publications receiving 5609 citations. Previous affiliations of Barry C. Arnold include University of Cantabria.
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Book
Advances in Mathematical and Statistical Modeling
TL;DR: This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities and practical students in mathematical and statistical modeling, optimization, and computing will benefit from this work.
Journal ArticleDOI
Monitoring Process Variance Using an ARL-unbiased EWMA-P Control Chart.
Su-Fen Yang,Barry C. Arnold +1 more
TL;DR: An ARL-unbiased exponentially weighted moving average proportion (EWMA-p) chart to monitor the process variance for process data with non-normal or unknown distributions is proposed and shows superior detection performance.
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Recent advances in the analyses of directional data in ecological and environmental sciences
Barry C. Arnold,Ashis SenGupta +1 more
TL;DR: Directional data (DD) generally refer to data on angular propagations or displacements, orientations, directional movements, etc, which are encountered in all areas of applied sciences, presumably more prominently in ecological and environmental sciences.
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Some skewed multivariate distributions
Barry C. Arnold,Robert J. Beaver +1 more
TL;DR: In this article, the univariate skew normal distribution is generalized to non-normal variants, which coincide with t he form of the skew normal if the underlying distributions are symmetric and also reduce to the same form as the multivariate skew norm al.
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Identifiability for dependent multiple decrement/competing risk models
TL;DR: In this paper, the authors consider a group of K lives and show that the joint survival function of the group should exhibit dependence between the component lives, and propose a method of analysis that assumes independence of the joint lives and joint life insurance.