2018
DOI: 10.3390/stats2010002
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The Exponentiated Burr XII Power Series Distribution: Properties and Applications

Abstract: In this work, we introduce a new Burr XII power series class of distributions, which is obtained by compounding exponentiated Burr XII and power series distributions and has a strong physical motivation. The new distribution contains several important lifetime models. We derive explicit expressions for the ordinary and incomplete moments and generating functions. We discuss the maximum likelihood estimation of the model parameters. The maximum likelihood estimation procedure is presented. We assess the perform… Show more

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Cited by 16 publications
(10 citation statements)
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References 21 publications
(22 reference statements)
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“…Also, using the GenSA package in R, the initial values of the parameters of the fitted models used for the optimisation are obtained. The performance of the HMBXII distribution is compared with nine (9) modifications of the Burr XII distribution which include the Marshall-Olkin exponentiated Burr XII distribution (MOEBXII) [2], the exponentiated Burr XII Poisson distribution (EBXIIP) [22], the Marshall-Olkin generalised Burr XII distribution (MOGBXII) [3], the Weibull Burr XII distribution (WBXII) [6], the Kumaraswamy exponentiated Burr XII distribution (KEBXII) [5], the Kumaraswamy Burr XII distribution (KWBXII) [7], the study on an extension to Lindley distribution [9] the exponentiated Exponential Burr XII distribution (EEBXII) [10], the Gompertz-modified Burr XII distribution (GMBXII) [13] and the odd exponentiated half-logistic Burr XII distribution (OEHLBXII) [14]. The Kolmogorov-Smirnov(K-S), Anderson-Darling(AD) and Cramér-von Mises (CVM) tests were used to evaluate the goodness-of-fit of the distributions fitted to the data.…”
Section: Applicationsmentioning
confidence: 99%
“…Also, using the GenSA package in R, the initial values of the parameters of the fitted models used for the optimisation are obtained. The performance of the HMBXII distribution is compared with nine (9) modifications of the Burr XII distribution which include the Marshall-Olkin exponentiated Burr XII distribution (MOEBXII) [2], the exponentiated Burr XII Poisson distribution (EBXIIP) [22], the Marshall-Olkin generalised Burr XII distribution (MOGBXII) [3], the Weibull Burr XII distribution (WBXII) [6], the Kumaraswamy exponentiated Burr XII distribution (KEBXII) [5], the Kumaraswamy Burr XII distribution (KWBXII) [7], the study on an extension to Lindley distribution [9] the exponentiated Exponential Burr XII distribution (EEBXII) [10], the Gompertz-modified Burr XII distribution (GMBXII) [13] and the odd exponentiated half-logistic Burr XII distribution (OEHLBXII) [14]. The Kolmogorov-Smirnov(K-S), Anderson-Darling(AD) and Cramér-von Mises (CVM) tests were used to evaluate the goodness-of-fit of the distributions fitted to the data.…”
Section: Applicationsmentioning
confidence: 99%
“…Defensible data require the use of a model that is su ciently tted within its framework (see Dutta and Perry [15]). Many researchers have adopted new families of distributions (see Ahmad et al [16], Ahmad et al [17], Nasir et al [18], Jamal and Nasir [19], Al-Mo eh [20], A fy et al [21], A fy and Alizadeh [22], and Cordeiro et al [23]). In this article, the new method of generalized U-family is used to propose an extended class of statistical models.…”
Section: Introductionmentioning
confidence: 99%
“…Hassan et al [7] discussed exponentiated Lomax distribution and its properties. Nasir et al [8] obtained the exponentiated Burr XII power series distribution with properties and its applications. Pal et al (2006) studied the exponentiated Weibull family as an extension of Weibull distribution.…”
Section: Introductionmentioning
confidence: 99%