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Testing Distributional Assumptions: A L-Moment Approach
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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Computational Statistics & Data Analysis, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elsayed A. H. Elamir, Allan H. Seheult
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elsayed A. H. Elamir, Allan H. Seheult
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Journal of Statistical Planning and Inference, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nair, N. Unnikrishnan, Vineshkumar, B.
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Nair, N. Unnikrishnan, Vineshkumar, B.
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Gamma Mixture: Bimodality, Inflexions and L-Moments
Communications in Statistics - Theory and Methods, 2008We study some characteristics of the mixture of two gamma distributions. Specifically, we characterize regions of the parameter space where the mixture density is bimodal and/or has four inflexion points and further, we provide formulae for the L-moments of such mixtures.
Goria, Mohammed Nawaz +2 more
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L-moments under nuisance regression
AIP Conference Proceedings, 2016The L-moments are analogues of the conventional moments and have similar interpretations. They are calculated using linear combinations of the expectation of ordered data. In practice, L-moments must usually be estimated from a random sample drawn from an unknown distribution as a linear combination of ordered statistics.
Jan Picek, Martin Schindler
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Estimation of quantile mixtures via L-moments and trimmed L-moments
Computational Statistics & Data Analysis, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Probability weighting and L-moments
European Journal of Operational Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Regional Flood Frequency Analysis using L-Moments
Civil-Comp Proceedings, 2009Regional 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. +2 more
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