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The Weibull-G Family of Probability Distributions

Marcelo Bourguignon, +2 more
- 09 Mar 2021 - 
- Vol. 12, Iss: 1, pp 53-68
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TLDR
The Weibull distribution is the most important distribution for problems in reliability as discussed by the authors, and it has been studied extensively in the literature, including in the context of the wider Weibbull-G family of distributions.
Abstract
The Weibull distribution is the most important distribution for problems in reliability. We study some mathematical properties of the new wider Weibull-G family of distributions. Some special models in the new family are discussed. The properties derived hold to any distribution in this family. We obtain general explicit expressions for the quantile function, ordinary and incomplete moments, generating function and order statistics. We discuss the estimation of the model parameters by maximum likelihood and illustrate the potentiality of the extended family with two applications to real data.

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Citations
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Journal ArticleDOI

The Generalized Odd Half-Cauchy Family of Distributions: Properties and Applications

TL;DR: In this article, the generalized odd half-Cauchy family (GOCF) was introduced and studied for continuous distributions with one extra parameter called GOCF, which is a generalized OCCF.
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The odd log-logistic Lindley Poisson model for lifetime data

TL;DR: A flexible cure rate survival model is proposed by assuming that the number of competing causes of the event of interest has a Poisson distribution and the time to event has an OLL-L distribution.
Journal ArticleDOI

The Odd Burr-III Family of Distributions

TL;DR: The odd Burr-III Lomax (OBIIILx) distribution as discussed by the authors is a special family of distributions generated from the logit of the Burr III random variable.
Journal ArticleDOI

Marshall–Olkin Alpha Power Weibull Distribution: Different Methods of Estimation Based on Type-I and Type-II Censoring

TL;DR: In this paper, the authors introduced the new four-parameter Weibull distribution named as the Marshall-Olkin alpha power weibull (MOAPW) distribution, which can achieve better fits than other competitive distributions.
Journal ArticleDOI

Power Lindley-G Family of Distributions

TL;DR: In this article, a new family of probability distributions generated from a power Lindley random variable is introduced, which is called the Power Lindley-Generated Family (PLFG).
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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On the Nature of the Function Expressive of the Law of Human Mortality, and on a New Mode of Determining the Value of Life Contingencies

TL;DR: The frequent opportunities I have had of receiving pleasure from your writings and conversation, have induced me to prefer offering to the Royal Society through your medium, this Paper on Life Contingencies, which forms part of a continuation of my original paper on the same subject, published among the valuable papers of the Society, as by passing through your hands it may receive the advantage of your judgment.
Journal ArticleDOI

Generalized Exponential Distributions

TL;DR: In this article, a three-parameter generalized exponential distribution (GED) was used for analysis of lifetime data, which is a particular case of the exponentiated Weibull distribution originally proposed by Mudholkar et al.
Journal ArticleDOI

Exponentiated Weibull family for analyzing bathtub failure-rate data

TL;DR: 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.
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