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
Reliability Analysis of the Inverse Modified Weibull Model with Applications
Mohamed Kayid,S. Djemili +1 more
TL;DR: In this article , a flexible inverse modified Weibull model with a concave weibull probability diagram was proposed for simulating certain aging classes of life distributions with appropriate choices of parameter values.
Journal ArticleDOI
The Extended Exponentiated Weibull Distribution and its Applications
TL;DR: In this paper, the authors introduce a univariate four-parameter distribution, which can have a decreasing, increasing, decreasing-increasing-decreasing (DID), upside-down bathtub (unimodal) and bathtub-shaped failure rate function depending on its parameters.
Journal ArticleDOI
Power-Law Adjusted Survival Models
TL;DR: In this article, a simple adjustment to parametric failure-time distributions, which allows for much greater flexibility in the shape of the hazard-rate function, is considered, and analytical expressions for the distributions of the power-law adjusted Weibull, gamma, log-gamma, generalized gamma, lognormal, and Pareto distributions are given.
Journal Article
A new mixed beta distribution and structural properties with applications
TL;DR: This paper re-expresses the BEWP density function as a EWP linear combination, and uses this to obtain its moments and proposes its basic structural properties such as density function and moments for this new distribution.
Dissertation
Building new probability distributions: the composition method and a computer based method
TL;DR: This thesis shows the performance of simple neural networks as a method for parameter estimation in probability distributions in the context of computational tools and algorithms, and shows two new probability distribution classes obtained from the composition of already existing ones.
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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