Results 11 to 20 of about 4,368,267 (192)

Using neural network to estimate weibull parameters [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2010
As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition.
Babak Abbasi, behrouz Afshar nadjafi
doaj   +1 more source

Inference under progressively type II right censored sampling for certain lifetime distributions [PDF]

open access: yes, 2009
In this paper, estimation of the parameters of a certain family of two-parameter lifetime distributions based on progressively Type II right censored samples (including ordinary Type II right censoring) is studied.
Yu, K, Wang, BX, Jones, MC
core   +6 more sources

Statistical Inference with Weibull to Exponential Transformation

open access: yes, 2000
Contributed Chapter in the forthcoming 'Weibull Handbook' Edited by N ...
YANG, Zhenlin, Xie, M.
core   +7 more sources

Evaluation of Wind Energy Potential of Uzbekistan. Part I: Gross Potential Assessment [PDF]

open access: yesRenewable Energy Research and Applications
This study analyzes wind speeds across various regions of the Republic of Uzbekistan to assess wind potential at 10 meters above ground level. Utilizing meteorological data from 77 ground-based stations collected between 2000 and 2022 at three-hour ...
E.Yu. Rakhimov   +4 more
doaj   +1 more source

Performance analysis of methods to estimate Weibull parameters for the compressive strength of concrete

open access: yesCase Studies in Construction Materials, 2023
The compressive strength of normal-weight concrete can be well-described by the Weibull distribution, but there is a lack of research on the efficiency of the estimation methods employed for determining the Weibull distribution parameters.
Chi-Cong Vu, Hong-Hai Tran
doaj   +1 more source

A New Kumaraswamy Generalized Family of Distributions with Properties, Applications, and Bivariate Extension

open access: yesMathematics, 2020
For bounded unit interval, we propose a new Kumaraswamy generalized (G) family of distributions through a new generator which could be an alternate to the Kumaraswamy-G family proposed earlier by Cordeiro and de Castro in 2011.
Muhammad H. Tahir   +4 more
doaj   +1 more source

Influence of the Determination Methods of K and C Parameters on the Ability of Weibull Distribution to Suitably Estimate Wind Potential and Electric Energy

open access: yesInternational Journal of Renewable Energy Development, 2014
The modeling of the wind speed distribution is of great importance for the assessment of wind energy potential and the performance of wind energy conversion system. In this paper, the choice of two determination methods of Weibull parameters shows theirs
Ruben M. Mouangue   +3 more
doaj   +1 more source

Classical and Bayesian estimation for type-I extended-F family with an actuarial application.

open access: yesPLoS ONE, 2023
In this work, a new flexible class, called the type-I extended-F family, is proposed. A special sub-model of the proposed class, called type-I extended-Weibull (TIEx-W) distribution, is explored in detail.
Nada M Alfaer   +5 more
doaj   +1 more source

Weibull, κ-Weibull and 3-parameter extended Weibull distributions

open access: yes, 2022
Here we will consider a function of κ-statistics, the κ-Weibull distribution, and compare it to the well-known Weibull distribution. The κ-Weibull will be also compared to the 3-parameter extended Weibull function, obtained according to the Marshall–Olkin extended distributions. The log-logistic distribution will be considered for comparison too.
openaire   +9 more sources

A Lifetime Distribution Based on a Transformation of a Two-Sided Power Variate [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
We introduce a new generalization of Weibull distribution by making use of a transformation of the standard two- sided power distributed random variable.
Mustafa C. Korkmaz, Ali I. Genc
doaj   +1 more source

Home - About - Disclaimer - Privacy