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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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Truncated log-logistic family of distributions

TL;DR: In this paper, a new family of distributions is introduced by using truncated log-logistic distribution, and four special lifetime models of the new family are investigated, and the obtained results are validated using a real dataset and it is shown that the new distributions provide a better fit than some other known distributions.
Journal ArticleDOI

Generalized Gompertz - Generalized Gompertz Distribution

TL;DR: In this article, a new generated family of continuous distributions based on generalized Gompertz distribution is introduced, and the probability density, cumulative distribution, reliability and hazard rate functions are introduced.
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A New Generalized Log-logistic and Modified Weibull Distribution with Applications

TL;DR: In this article, a generalized distribution called the log-logistic modified Weibull (LLoGMW) distribution is presented, which includes many submodels such as the log logistic modified Rayleigh, log-Logistic modified exponential, loglogistic weibull and exponential distributions as special cases.
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Properties and Applications of a Transmuted Power Gompertz Distribution

TL;DR: In this paper, the authors presented a survey of the state of the art in statistics and operations research at the Modibbo Adama University of Technology (MAUTech), P.M.B. 2076, Yola, Nigeria.
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The odd inverse Pareto-G class: properties and applications

TL;DR: Gupta et al. as mentioned in this paper introduced a new family of continuous distributions called the odd inverse Pareto G class which extends the exponentiated G family due to Gupta et al., and defined and studied two special models of the proposed family which are capable of modeling various shapes of aging and failure criteria.
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.
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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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