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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

Strength modeling using Weibull distributions

TL;DR: A comprehensive review of the known variations of the two-parameter Weibull distribution is provided to help providing better modeling in this article, where the appropriateness of the variations is discussed as models for brittle versus ductile strength.
Journal ArticleDOI

Maximum Product Spacing and Bayesian Method for Parameter Estimation for Generalized Power Weibull Distribution Under Censoring Scheme

TL;DR: In this article, the estimation of the Generalized Power Weibull parameters using the maximum product spacing (MPS) method, the maximum likelihood (ML) method and Bayesian estimation method under squares error for loss function is discussed.
Journal ArticleDOI

The Lindley Weibull Distribution: properties and applications.

TL;DR: A new three-parameter lifetime model called the Lindley Weibull distribution is introduced, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates, and some of its mathematical properties including ordinary and incomplete moments, quantile and generating functions and order statistics are provided.
Journal ArticleDOI

The exponentiated generalized Birnbaum-Saunders distribution

TL;DR: A comprehensive account of the mathematical properties of the new distribution and various structural quantities are derived and maximum likelihood estimation of the model parameters for uncensored and censored data is discussed.
Journal ArticleDOI

Estimating the turning point of a bathtub-shaped failure distribution

TL;DR: In this article, the authors investigate the performance of an empirical estimator for the turning point in the case of the modified Weibull distribution, a bathtub-shaped generalization of the Weibbull distribution that has been found to be useful in reliability engineering and other areas concerned with life-time data.
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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