Results 301 to 310 of about 84,578 (323)
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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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Exact variance structure of sample L-moments
Journal of Statistical Planning and Inference, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elamir, E. A. H., Seheult, A. H.
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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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Estimation of drought rainfall using L-moments
Irrigation and Drainage, 2005En 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, 2008Stein (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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Frequency analysis of extreme rainfall using L‐moment
Irrigation and Drainage, 2003AbstractThis research seeks to derive the design rainfalls through the L‐moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall in 38 Korean rainfall stations. To select the appropriate distribution of annual maximum daily rainfall data according to rainfall station, generalized extreme value (GEV ...
Soon H. Lee, Sung J. Maeng
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2017
As various types of media currently generate so-called big data, data visualization faces the challenge of selecting a few representative variables that best summarize important structure inherent in data. The conventional moments-based summary statistics can be useful for the purpose of variable screening.
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As various types of media currently generate so-called big data, data visualization faces the challenge of selecting a few representative variables that best summarize important structure inherent in data. The conventional moments-based summary statistics can be useful for the purpose of variable screening.
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Network Traffic Characterization Using L-moment Ratio Diagrams
2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), 20195G 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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On Inferring Income Inequality Measures Using L-moments
Economic Quality Control, 2015Abstract L-moments are expectations of linear combinations of order statistics, their use in reliability analysis has been established. In the present paper we study L-moments in relation to income inequality measures. Models characterized by functional relationships between L-moments and income inequality measures are studied.
N. Sreelakshmi +2 more
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Some theory and practical uses of trimmed L-moments
Journal of Statistical Planning and Inference, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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