Journal ArticleDOI
Exponentiated Weibull family for analyzing bathtub failure-rate data
G.S. Mudholkar,D.K. Srivastava +1 more
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TLDR
In this article, a simple generalization of the Weibull distribution is presented, which is well suited for modeling bathtub failure rate lifetime data and for testing goodness-of-fit of the weibull and negative exponential models as subhypotheses.Abstract:
A simple generalization of the Weibull distribution is presented. The distribution is well suited for modeling bathtub failure rate lifetime data and for testing goodness-of-fit of the Weibull and negative exponential models as subhypotheses. >read more
Citations
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Journal ArticleDOI
An additive Chen‐Weibull distribution and its applications in reliability modeling
Tien Thanh Thach,Radim Bris +1 more
Journal ArticleDOI
Estimation of three-parameter exponentiated-Weibull distribution under type-II censoring
TL;DR: In this paper, the point estimators of the exponentiated-Weibull parameters when all the three parameters of the distribution are unknown are obtained through the use of appropriate numerical techniques and the performances of these estimators are studied on the basis of their risks, computed separately under LINEX loss and squared error loss functions through Monte-Carlo simulation technique.
Journal ArticleDOI
Power-normal distribution
Debasis Kundu,Rameshwar D. Gupta +1 more
TL;DR: In this paper, the authors proposed a bivariate power-normal distribution for skewed data, whose marginals are power normal distributions, whose support is the whole real line, and two different estimators are proposed.
Journal ArticleDOI
Predicting wave heights for marine design by prioritizing extreme events in a global model
TL;DR: In this paper, the authors analyzed wave datasets from six locations suitable for offshore wind turbines and found that the exponentiated Weibull distribution provides better overall fit to these wave data than the translated Weibell distribution.
Journal ArticleDOI
Bayesian Estimation for the Exponentiated Weibull Model via Markov Chain Monte Carlo Simulation
Z. F. Jaheen,Mashail M. Al Harbi +1 more
TL;DR: Bayesian estimation for the two unknown parameters and the reliability function of the exponentiated Weibull model are obtained based on generalized order statistics and comparisons are made between Bayesian and maximum likelihood estimators via Monte Carlo simulation.
References
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Book
Linear statistical inference and its applications
TL;DR: Algebra of Vectors and Matrices, Probability Theory, Tools and Techniques, and Continuous Probability Models.
Book
Statistical Models and Methods for Lifetime Data
TL;DR: Inference procedures for Log-Location-Scale Distributions as discussed by the authors have been used for estimating likelihood and estimating function methods. But they have not yet been applied to the estimation of likelihood.
Journal ArticleDOI
Linear Statistical Inference and Its Applications.
Journal ArticleDOI
Statistical Models and Methods for Lifetime Data.
Brian Francis,Jerald F. Lawless +1 more
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