Results 21 to 30 of about 7,305,411 (311)

Efficiency comparison of historical and newly developed Weibull parameters estimation methods

open access: yesEnergy exploration & exploitation, 2020
This work compares the efficiency of historically used Weibull parameters estimation methods with newly developed method. Newly developed method has been termed as Combined Linearized Moment Method (CLMM).
Muhammad Sumair   +3 more
semanticscholar   +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

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

New Estimators for Weibull Distribution Parameters: Comprehensive Comparative Study for Weibull Distribution [PDF]

open access: yesJournal of Statistical Research of Iran, 2019
2 figures and 6 ...
Sadani, Sahar   +3 more
openaire   +2 more sources

Maximum likelihood and pseudo score approaches for parametric time-to-event analysis with informative entry times [PDF]

open access: yes, 2014
We develop a maximum likelihood estimating approach for time-to-event Weibull regression models with outcome-dependent sampling, where sampling of subjects is dependent on the residual fraction of the time left to developing the event of interest ...
Bird, Sheila M.   +2 more
core   +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

Reliability analysis of structural ceramic components using a three-parameter Weibull distribution [PDF]

open access: yes, 1992
Described here are nonlinear regression estimators for the three-Weibull distribution. Issues relating to the bias and invariance associated with these estimators are examined numerically using Monte Carlo simulation methods.
Duffy, Stephen F.   +2 more
core   +3 more sources

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

Stochastic Stick - Slip Model Linking Crustal Shear Strength and Earthquake Interevent Times [PDF]

open access: yes, 2012
The current understanding of the earthquake interevent times distribution (ITD) is incomplete. The Weibull distribution is often used to model the earthquake ITD.
Hristopulos, Dionissios T.   +1 more
core   +1 more source

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

open access: yes, 2022
Here we will consider a function of -statistics, the -Weibull distribution, and compare it to the well-known Weibull distribution. The -Weibull will be also compared to the 3-parameter extended Weibull function, obtained according to the Marshall Olkin extended distributions.
openaire   +1 more source

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