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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

A generalization of discrete Weibull distribution

TL;DR: In this paper, a new family of discrete distributions is introduced and its properties are studied. And it is shown that the new family is a generalization of discrete Marshall-Olkin family of distributions.
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Detecting trend change in hazard functions—an L-statistic approach

TL;DR: A unified test to detect trend change in hazard functions based on a weighted integral approach is proposed and shows significant improvement in power depending on appropriate choice of parameters j and k introduced in this work.
Journal ArticleDOI

Classical and Bayesian estimations of improved Weibull–Weibull distribution for complete and censored failure times data

TL;DR: In this paper , an improved Weibull-Weibull (WW) distribution was proposed for fitting monotone and non-monotone failure rate data with or without a flat region.
Journal ArticleDOI

The McDonald Gumbel model

TL;DR: A new model called the McDonald Gumbel distribution is proposed, the major advantage of which is its ability to fit asymmetric real data that can not be properly adjusted by existing distributions.
Journal ArticleDOI

Beyond the Sin-G family: The transformed Sin-G family.

TL;DR: In this article, a flexible extension of the Sin-G family, called the transformed Sin-g family, is introduced, which is constructed from a new polynomial trigonometric function presenting a desirable "versatile concave/convex" property.
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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