Results 261 to 270 of about 10,531,857 (299)

Estimation of quantile mixtures via L-moments and trimmed L-moments

Computational Statistics & Data Analysis, 2006
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Probability weighting and L-moments

European Journal of Operational Research, 2016
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Regional Flood Frequency Analysis using L-Moments

Civil-Comp Proceedings, 2009
Regional flood frequency analysis was performed using L-moments. The analysis uses annual maximum flood data observed at a desired project location or streamgaging station to estimate flood quantiles. Regional flood frequency analysis involves four stages: screening of the data, identification of homogeneous regions, choice of a regional frequency ...
Onusluel, G., ÖZKUL, SEVİNÇ, Harmancioglu, N.B.   +2 more
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Estimation of drought rainfall using L-moments

Irrigation and Drainage, 2005
En utilisant les donnees des pluviosites mensuelles minimums par une duree consecutive de 1, 2, 4, 6, 9 et 12 mois qui ont ete mesurees aux 57 stations de pluviometrie en Coree du Sud, cette etude a vise a essayer de faire une derivation des pluviosites de secheresse dessinees en utilisant la methode de L-moment.
Soon H. Lee, Sung J. Maeng
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Testing Distributional Assumptions: A L-Moment Approach

SSRN Electronic Journal, 2008
Stein (1972, 1986) provides a flexible method for measuring the deviation of any probability distribution from a given distribution, thus effectively giving the upper bound of the approximation error which can be represented as the expectation of a Stein's operator.
Ba M. Chu, Mark Howard Salmon
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Multivariate L-Moments Based on Transports

2015
Univariate 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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L-moments and TL-moments of the generalized lambda distribution

Computational Statistics & Data Analysis, 2007
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Some theory and practical uses of trimmed L-moments

Journal of Statistical Planning and Inference, 2007
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Frequency Analysis of Upper Cauvery Flood Data by L-Moments

Water Resources Management, 1994
The objectives of the present study are to investigate the hydrological homogeneity of Upper Cauvery annual maximum flow data and to select a suitable distribution for the frequency analysis. The L-moments method is used in this analysis. The Upper Cauvery river basin is shown to be hydrologically heterogeneous.
A. Ramachandra Rao, Khaled H. Hamed
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L-Moments of Residual Life and Partial Moments

2013
The 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, P. G. Sankaran, N. Balakrishnan   +2 more
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