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3 articles for “upper tail”

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Research ArticleOpen accessIn the keywordsEstimation of the Extreme Value Type I Distribution by the Method of LQ-MomentsAni Shabri, Abdul Aziz JemainProblem statement: The study evaluated the effectiveness of the various quantile estimators of the LQ-moments method for estimating parameters of the Extreme Value Type 1 (EV1) distribution. Approach: The performances of the LQ-moments were analyzed and compared against a widely used method of L-moments by using simulated samples of both EV1 and generalized Lambda distribution, focusing on small and moderate … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdsorption and Distribution of Selected High Molecular Weight Polycyclic Aromatic Hydrocarbons in a Typical Coastal Sand DepositUzoije Atulegwu Patrick, Ezenobi Chukwunoye ChristainContaminant migration study through soil medium is a veritable tool for a match towards sustainable groundwater protection. It is also essential to predict the fate and Transport of pollutants and to evaluate pollution risks. In this study, migration and distribution of High Molecular Weight (HMW) Polycyclic Aromatic Hydrocarbons (PAHs) through a coastal sand deposit of a wetland was investigated. Flow … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 27 Mar 2018 · 7,360 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbabilistic Estimates of the Largest Strictly Convex Singular Values of Pregaussian Random MatricesYang LiuIn this study, the p-singular values of random matrices with Gaussian entries defined in terms of the lp-p-norm for p>1, as is studied. Mainly, using analytical techniques, we show the probabilistic estimate, precisely, the decay, on the upper tail probability of the largest strictly convex singular values, when the number of rows of the matrices becomes very large and the … …Journal of Mathematics and Statistics, Vol. 11, Issue 1 · 6 May 2015 · 6,887 accessesView PDFCite