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Multivariate L-Moments Based on Transports
2015Univariate L-moments are expressed as projections of the quantile function onto an orthogonal basis of univariate polynomials. We present multivariate versions of L-moments expressed as collections of orthogonal projections of a multivariate quantile function on a basis of multivariate polynomials.
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Hydrological Sciences Journal, 2004
A parameter estimation method is proposed for fitting the generalized extreme value (GEV) distribution to censored flood samples. Partial L-moments (PL-moments), which are variants of L-moments and analogous to "partial probability weighted moments" are defined for the analysis of such flood samples.
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A parameter estimation method is proposed for fitting the generalized extreme value (GEV) distribution to censored flood samples. Partial L-moments (PL-moments), which are variants of L-moments and analogous to "partial probability weighted moments" are defined for the analysis of such flood samples.
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L-moments for Pearson Type VII Distribution
In this article, we introduce the differential equation formulated by Carl Pearson that leads to the derivation of the Pearson type VII probability density function. We then apply numerical methods to calculate the L-moments of this distribution.Khanipour, Iman +2 more
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L-Moments of Residual Life and Partial Moments
2013The residual life distribution and various descriptive measures derived from it form the basis of modelling, characterization and ageing concepts in reliability theory. Of these, the moment-based descriptive measures such as mean, variance and coefficient of variation of residual life and their quantile forms were all discussed earlier in Chaps.
N. Unnikrishnan Nair +2 more
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Estimation and Tests Under L-Moment Condition Models
2013We propose estimators defined thanks to the minimization of an “energy” functional for a semi-parametric model defined by L-moment equations. This is an adaptation for the L-moments framework of the estimation through the minimization of a divergence with moment condition models.
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Using different types of moments to estimate (L-moments, T L-moments and LQ-moments)
AIP Conference Proceedings, 2023openaire +1 more source
المجلة العلمیة لقطاع کلیات التجارة, 2019
Ghada A. El-Kelany, Hager A. Ibrahim
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Ghada A. El-Kelany, Hager A. Ibrahim
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Higher Order Moment Portfolio Optimization with L-Moments
SSRN Electronic Journal, 2023openaire +1 more source
Network Traffic Characterization Using L-moment Ratio Diagrams
5G networks are facing to new challenges related to the growing traffic volume and service diversity. Some of the major concerns in this new scenario are the security and privacy issues required for a full technology adoption. Traffic characterization is a compound of strategies intended to define formally the behaviour and patterns in the Internet ...Chidean, Mihaela I. +3 more
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