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General results for the beta-modified Weibull distribution
(TAYLOR & FRANCIS LTD, 2011)
We study in detail the so-called beta-modified Weibull distribution, motivated by the wide use of the Weibull distribution in practice, and also for the fact that the generalization provides a continuous crossover towards ...
The beta modified Weibull distribution
(SPRINGER, 2010)
A five-parameter distribution so-called the beta modified Weibull distribution is defined and studied. The new distribution contains, as special submodels, several important distributions discussed in the literature, such ...
Four generalized Weibull distributions: similar properties and applications
(Universidade Federal de Santa Maria, 2020)
Joint statistics for two correlated Weibull variates
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2005)
On Bivariate Exponentiated Extended Weibull Family of DistributionsON BIVARIATE EXPONENTIATED EXTENDED WEIBULL FAMILY OF DISTRIBUTIONS
(Universidade Federal de Santa Maria, 2016)
A compound class of Weibull and power series distributions
(ELSEVIER SCIENCE BV, 2011)
In this paper we introduce the Weibull power series (WPS) class of distributions which is obtained by compounding Weibull and power series distributions where the compounding procedure follows same way that was previously ...
The generalized inverse Weibull distribution
(SPRINGER, 2011)
The inverse Weibull distribution has the ability to model failure rates which are quite common in reliability and biological studies. A three-parameter generalized inverse Weibull distribution with decreasing and unimodal ...
The Beta-Weibull Distribution on the Lattice of Integers
(Universidade Federal de Santa Maria, 2016)
EXPONENTIATED NEW WEIBULL-PARETO DISTRIBUTIONNUEVA DISTRIBUCIÓN EXPONENCIADA DE WEIBULL-PARETO
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
A Note on the Prior Distributions of Weibull Parameters for the Reliability Function
(Taylor & Francis Inc, 2009-01-01)
In Bayesian Inference it is often desirable to have a posterior density reflecting mainly the information from sample data. To achieve this purpose it is important to employ prior densities which add little information to ...