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Journal ArticleDOI

Exponentiated Weibull family for analyzing bathtub failure-rate data

G.S. Mudholkar, +1 more
- 01 Jun 1993 - 
- Vol. 42, Iss: 2, pp 299-302
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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. >

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Citations
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Journal ArticleDOI

An Additive Perks–Weibull Model with Bathtub-Shaped Hazard Rate Function

TL;DR: In this article, an additive Perks-Weibull model was proposed for modeling lifetime data with bathtub-shaped hazard rate function, which is derived by the sum of the hazard rates of Perks and Weibull distributions.

Classical and Bayesian Estimations on the Generalized Exponential Distribution Using Censored Data

TL;DR: In this paper, the authors obtained Bayesian and non-Bayesian estimators for the shape parameter, reliability and failure rate functions of the generalized-exponential distribution in the case of complete and type-II censored samples.
Proceedings ArticleDOI

Modeling The Temporally Constrained Preemptions of Transient Cloud VMs

TL;DR: This work develops a new probability model for bathtub preemptions and analyzes it through the lens of reliability theory, which indicates that temporally constrained preemptions are not uniformly distributed but are time-dependent and have a bathtub shape.
Journal ArticleDOI

Ordering results for series and parallel systems comprising heterogeneous exponentiated Weibull components

TL;DR: In this paper, the usual stochastic and reversed hazard rate orders between the series and parallel systems from two sets of independent heterogeneous exponentiated Weibull components are discussed.
Journal ArticleDOI

The Alpha Power Marshall-Olkin-G Distribution: Properties, and Applications

TL;DR: In this paper, a new family of distribution called the alpha power Marshall-Olkin-G (APMO-G) family of distributions was proposed, which provides a better fit for continuous distributions for lifetime processes.
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.
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