Biases of the Mean and Shape Properties in CMIP6 Extreme Precipitation Over Central Asia [PDF]
Frontiers in Earth Science, 2022 The global climate models (GCMs) are indispensable for accurately simulating the climate variability and change, and numerous studies have assessed climatic extreme events globally and regionally.
Zhu Liu +4 more
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Statistical Inference Based on L-Moments [PDF]
Statistika: Statistics and Economy Journal, 2017 To overcome drawbacks of central moments and comoment matrices usually used to characterize univariate and multivariate distributions, respectively, their generalization, termed L-moments, has been proposed.
Tereza Šimková
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Assessment Performance of 3-Parameter Probability Distributions for At-site Annual Streamflow in the Blue Nile Basin [PDF]
Journal of Engineering Research - Egypt, 2023 Many investigators have been applied various probability distributions for flood discharges at-site or region, however, there is no scientific judge about the best distribution to accurate the flood discharge estimations.
Amira El metwaly +2 more
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Some Axioms and Identities of L-Moments from Logistic Distribution with Generalizations
Axioms, 2023 In this paper, we derive the L-moments for some distributions, such as logistic, generalized logistic, doubly truncated logistic, and doubly truncated generalized logistic distributions.
Khalaf S. Sultan, Nashmiah R. AL-Shamari
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Regional Frequency Analysis of Rainfall, using L-Moment Method, as A Design Rainfall Prediction
Journal of the Civil Engineering Forum, 2021 Frequency analysis is a method for predicting the probability of future hydrological events, based on historical data. Generally, frequency analysis of rainfall data and discharge data is performed using the moment method, but this method has a large ...
Devita Mayasari, Pratiwi Setyaning Putri
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Estimation for Models Defined by Conditions on Their L-Moments [PDF]
IEEE Transactions on Information Theory, 2016 This paper extends the empirical minimum divergence approach for models which satisfy linear constraints with respect to the probability measure of the underlying variable (moment constraints) to the case where such constraints pertain to its quantile measure (called here semi parametric quantile models).
Broniatowski, Michel, Decurninge, Alexis
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Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments [PDF]
Advances in Meteorology, 2017 Extremes precipitation may cause a series of social, environmental, and ecological problems. Estimation of frequency of extreme precipitations and its magnitude is vital for making decisions about hydraulic structures such as dams, spillways, and dikes.
Said Arab Khan +5 more
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Flood Flow Frequency Model Selection Using L-moment Method in Arid and Semi Arid Regions of Iran [PDF]
Desert, 2012 Statistical frequency analysis is the most common procedure for the analysis of flood data at a gauged location thatin first step it is needed to select a model to represent the population.
A.R. Keshtkar +2 more
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Variable screening based on Gaussian Centered L-moments
Computational Statistics & Data Analysis, 2023 An important challenge in big data is identification of important variables. In this paper, we propose methods of discovering variables with non-standard univariate marginal distributions. The conventional moments-based summary statistics can be well-adopted for that purpose, but their sensitivity to outliers can lead to selection based on a few ...
Hyowon An +3 more
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Synthesis and Characterization of Mn(II), Co(II), Ni(II) and Cu(II) complexes with 4'-azachalcone and their adducts with 1,10-phenanthroline [PDF]
مجلة التربية والعلم, 2006 New complexes of general formula [M(L)2C12] , [M2(L)2C14] and adducts [M(L)2(phen)Cl2] ,where L=4'-azachalcone ,phen - 1,10-phenanthrolin, M=Mn(II),Co(Il),Ni(II) and Cu(II) have been prepared.
N. H. Buttrus, R. Y. Dawod, I. A. Hassan
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