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# L-moments and Chebyshev inequality driven convex model for uncertainty quantification

Naman Jain,Palaniappan Ramu +1 more

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This article is published in Structural and Multidisciplinary Optimization.The article was published on 2022-06-18. It has received 1 citations till now. The article focuses on the topics: Kurtosis & Convex hull.read more

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## Punctuated equilibrium and the dynamics of political participation: the case of letter writing

TL;DR: The authors found consistent evidence of punctuations, using weekly, fortnightly, and annual data, across Australia and America, in the volume and topic of letters to the Australian Prime Minister and American President.

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Book ChapterDOI

## Upper and Lower Probabilities Induced by a Multivalued Mapping

TL;DR: A distinctive feature of the present approach is a rule for conditioning, or more generally, arule for combining sources of information, as discussed in Sects.

Journal ArticleDOI

## The quickhull algorithm for convex hulls

TL;DR: This article presents a practical convex hull algorithm that combines the two-dimensional Quickhull algorithm with the general-dimension Beneath-Beyond Algorithm, and provides empirical evidence that the algorithm runs faster when the input contains nonextreme points and that it used less memory.

Journal ArticleDOI

## L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics

TL;DR: The authors define L-moments as the expectations of certain linear combinations of order statistics, which can be defined for any random variable whose mean exists and form the basis of a general theory which covers the summarization and description of theoretical probability distributions.

Book

## Introduction to Interval Analysis

TL;DR: This unique book provides an introduction to a subject whose use has steadily increased over the past 40 years, and provides broad coverage of the subject as well as the historical perspective of one of the originators of modern interval analysis.

Journal ArticleDOI

## An efficient algorith for determining the convex hull of a finite planar set

TL;DR: P can be chosen to I&E the centroid oC the triangle formed by X, y and z and Express each si E S in polar coordinates th origin P and 8 = 0 in the direction of zu~ arhitnry fixed half-line L from P.