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Characterisation of global precipitation frequency through the L‐moments approach
Area, 2012Higher‐order statistics, such as skewness and kurtosis, are useful measures to describe the shape of a probability distribution. In hydrology, the assessment of these parameters is an important step for representing precipitation frequencies and understanding rainfall variability.
Eduardo Eiji Maeda +2 more
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On the Sensitivity of Sample L Moments to Sample Size
Journal of Climate, 1994Abstract Parametric probability distributions can be fit to a dataset by equating sample L moments to those Of the fitted distribution. This study examines the mean and mean squared departures of sample L moments of monthly precipitation data from large sample values as sample size increases.
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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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L‐moments skewness and kurtosis as measures of regional convergence and cohesion
Statistica Neerlandica, 2014The paper deals with the statistical modeling of convergence and cohesion over time with the use of kurtosis, skewness and L‐moments. Changes in the shape of the distribution related to the spatial allocation of socio‐economic phenomena are considered as an evidence of global shift, divergence or convergence.
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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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Using different types of moments to estimate (L-moments, T L-moments and LQ-moments)
AIP Conference Proceedings, 2023openaire +1 more source
Comprehensive Study of Continuous Orthogonal Moments—A Systematic Review
ACM Computing Surveys, 2020Parminder Kaur +2 more
exaly
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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On image analysis by the methods of moments
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1988R T Chin
exaly