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L-MOMENTS: 作品数：11被引量：27H指数：1; 导出分析报告; 相关领域：水利工程理学天文地球更多>>; 相关机构：江西财经大学更多>>; 相关期刊：《Journal of Mountain Science》《Journal of Applied Mathematics and Physics》《Journal of Mathematics and System Science》《Journal of Water Resource and Protection》更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划更多>>

Applications of Burr Ⅲ-Weibull quantile function in reliability analysis: 《Statistical Theory and Related Fields》2023年第4期296-308,共13页G.S.Deepthy Nicy Sebastian N.Chandra; 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.Di...; 关键词：Weibull distribution Burr III distribution quantile density function quantile function hazard quantile function L-MOMENTS

L-Moments Based Calibrated Variance Estimators Using Double Stratified Sampling: 《Computers, Materials & Continua》2021年第9期3411-3430,共20页Usman Shahzad Ishfaq Ahmad Ibrahim Mufrah Almanjahie Nadia H.Al–Noor; The authors thank the Deanship of Scientific Research at King Khalid University,Kingdom of Saudi Arabia for funding this study through the research groups program under Project Number R.G.P.1/64/42.Ishfaq Ahmad and Ibrahim Mufrah Almanjahie received the grant.; Variance is one of the most vital measures of dispersion widely employed in practical aspects.A commonly used approach for variance estimation is the traditional method of moments that is strongly influenced by the pr...; 关键词：Variance estimation L-MOMENTS calibration approach double sampling stratified random sampling

A New Class of L-Moments Based Calibration Variance Estimators被引量：1: 《Computers, Materials & Continua》2021年第3期3013-3028,共16页Usman Shahzad Ishfaq Ahmad Ibrahim Mufrah Almanjahie Nadia H.Al Noor Muhammad Hanif; The authors are grateful to the Deanship of Scientific Research at King Khalid University,Kingdom of Saudi Arabia for funding this study through the research groups program under project number R.G.P.2/67/41.Ibrahim Mufrah Almanjahie received the grant.; Variance is one of themost important measures of descriptive statistics and commonly used for statistical analysis.The traditional second-order central moment based variance estimation is a widely utilized methodology...; 关键词：L-MOMENTS variance estimation calibration approach stratified random sampling

Prediction of Drought with Artificial Neural Networks and Genetic Algorithms Using Precipitation by Remote Perception被引量：1: 《Journal of Environmental Science and Engineering(B)》2018年第7期253-265,共13页Iván Ayala Bizarro Miguel Zubiaur Alejos Jessica Zuniga Mendoza; The aim of the study is to determine the performance of the regional agricultural drought prediction by the model of ANN(Artificial Neural Networks)type NARX,using the SPI(Standardized Precipitation Index),SPEI(Precip...; 关键词：DROUGHT ANN SPI-SPEI-VCI RAF L-MOMENTS

Spatial Variability and Cartography of Maximum Annual Daily Rainfall under Different Return Periods in Northern Algeria: 《Journal of Mountain Science》2015年第6期1403-1421,共19页MEDDI Mohamed TOUMI Samir; The estimation of precipitation quantiles has always been an area of great importance to meteorologists, hydrologists, planners and managers of hydrotechnical infrastructures. In many cases, it is necessary to estimat...; 关键词：Annual maximum daily rainfall Regionalisation L-moments Mapping Northern Algeria

Analysis of Flow Estimation Methods for Small Hydropower Schemes in Bua River: 《Energy and Power Engineering》2015年第2期55-62,共8页Chisomo Kasamba Preksedis Marco Ndomba Samuel Baker Kucel Miguel M. Uamusse; Any hydropower project requires an ample availability of stream flow data. Unfortunately, most of the hydropower projects especially small hydropower projects are conducted on ungauged river and consequently hydrologi...; 关键词：Accuracy BIAS Uncertainty L-MOMENTS Small HYDROPOWER

L-Moments and TL-Moments as an Alternative Tool of Statistical Data Analysis: 《Journal of Applied Mathematics and Physics》2014年第10期919-929,共11页Diana Bílková; Moments and cumulants are commonly used to characterize the probability distribution or observed data set. The use of the moment method of parameter estimation is also common in the construction of an appropriate para...; 关键词：L-MOMENTS and TL-Moments of PROBABILITY DISTRIBUTION Sample L-MOMENTS and TL-Moments PROBABILITY Density FUNCTION DISTRIBUTION FUNCTION QUANTILE FUNCTION Order Statistics INCOME DISTRIBUTION

A Rainfall Distribution for the Lampao Site in the Chi River Basin, Thailand: 《Journal of Water Resource and Protection》2012年第10期866-869,共4页Bungon Kumphon Arun Kaew-Man Parakorn Seenoi; In this study, the four-parameter kappa distribution with L-Moments estimation has been used to fit the distribution of weekly rainfall data at Lampao in the Chi River Basin, Thailand. The weekly precipitations with p...; 关键词：L-MOMENTS Four Parameters KAPPA Distribution GOODNESS of FIT Test

Spatio-temporal trend and statistical distribution of extreme precipitation events in Huaihe River Basin during 1960-2009被引量：24: 《Journal of Geographical Sciences》2012年第2期195-208,共14页XIA Jun SHE Dunxian ZHANG Yongyong DU Hong; National Basic Research Program of China, No.2010CB428406; National Natural Science Foundation of China, No.41071025 The meteorological data used in this study were collected from China Meteorological Administration （CMA）, which is highly appreciated.; Based on the daily precipitation data of 27 meteorological stations from 1960 to 2009 in the Huaihe River Basin, spatio-temporal trend and statistical distribution of extreme precipitation events in this area are anal...; 关键词：Huaihe River Basin extreme precipitation extreme distribution L-moments method Kolmo- gorov-Smirnov test

Modelling of Wage and Income Distributions Using the Method of L-Moments被引量：1: 《Journal of Mathematics and System Science》2012年第1期13-19,共7页Diana Bilkova; Commonly used statistical procedure to describe the observed statistical sets is to use their conventional moments or cumulants. When choosing an appropriate parametric distribution for the data set is typically that ...; 关键词：L-MOMENTS method of L-moments of parameter estimation lognormal distribution wage distribution income distribution.

L-MOMENTS