Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments [PDF]
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
doaj +3 more sources
Statistical Inference Based on L-Moments [PDF]
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. L-moments of all orders are defined for any random variable or vector with finite mean.
Tereza Šimková
doaj +2 more sources
Characterizing the generalized lambda distribution by L-moments [PDF]
Revised version, accepted for ...
Juha Karvanen, Arto Nuutinen
doaj +5 more sources
TL-moments of the exponentiated generalized extreme value distribution
TL-moments and LQ-moments of the exponentiated generalized extreme value distribution (EGEV) will be obtained and used to estimate the unknown parameters of the EGEV distribution.
Noura A.T. Abu El-Magd
exaly +3 more sources
Determination of Suitable Probability Distribution of Rainfall in Pakistan Considering Multiplicity [PDF]
Extreme rainfall events are occasional, and understanding their intensity and frequency is important for long-term planning and for public safety. The current study aims to investigate the stability of extreme precipitation events in different regions of
Tasir Khan +5 more
doaj +1 more source
Assessment of Flood Awareness and Early Warning Systems: The Case of Beşikdüzü, Trabzon
In this study, the flood, occurred in Beşikdüzü District, Trabzon, on 21 September 2016 and resulted in the large amount of life loss and property, was investigated in terms of hydrological and social aspects.
Tuğçe Anılan +3 more
doaj +1 more source
Applications of Burr III- Weibull quantile function in reliability analysis
This paper introduces a new family of distributions defined in terms of quantile function. The quantile function introduced here is the sum of quantile functions of life time distributions called Burr III and Weibull.
G. S. Deepthy +2 more
doaj +1 more source
Estimation for Models Defined by Conditions on Their L-Moments [PDF]
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
openaire +3 more sources
Low flow frequency analysis by L-moments method (Case study: Iranian Central Plateau River Basin) [PDF]
Knowledge about low flow statistics is essential for effective water resource planning and management in ungauged orpoorly gauged catchment areas, especially in arid and semi-arid regions such as Iran.
Amir Keshtkar
doaj +1 more source
Variable screening based on Gaussian Centered L-moments
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
openaire +3 more sources

