2019
DOI: 10.22436/jnsa.012.05.05
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The zero truncated Poisson Burr X family of distributions with properties, characterizations, applications, and validation test

Abstract: The goal of this work is to introduce a new family of continuous distributions with a strong physical applications. Some statistical properties are derived, and certain useful characterizations of the proposed family of distributions are presented. Five applications are provided to illustrate the importance of the new family. A modified goodness-of-fit test for the new family in complete data case are investigated via two examples. We propose, as a first step, the construction of Nikulin-Rao-Robson statistic b… Show more

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Cited by 19 publications
(10 citation statements)
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“…So, we used it in comparing competitive models. Before using the the maximum likelihood method, we performed simulation experiments to assess the finite sample behavior of it using the biases and mean squared errors As a future potential work we may consider the modified Nikulin-Rao-Robson goodness-of-fit test for distributional validation as presented by Abouelmagd et al [1], Abouelmagd et al [2], Ibrahim et al [39], brahim et al [37], Goual et al [28] and Goual et al [29]. We may consider the modified Bagdonavičius-Nikulin Goodnessof-fit test for censored validation as presented by Mansour et al ([53], [54], [56], [57], [52] and [55]), Yousof et al [67] and Salah et al [61].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…So, we used it in comparing competitive models. Before using the the maximum likelihood method, we performed simulation experiments to assess the finite sample behavior of it using the biases and mean squared errors As a future potential work we may consider the modified Nikulin-Rao-Robson goodness-of-fit test for distributional validation as presented by Abouelmagd et al [1], Abouelmagd et al [2], Ibrahim et al [39], brahim et al [37], Goual et al [28] and Goual et al [29]. We may consider the modified Bagdonavičius-Nikulin Goodnessof-fit test for censored validation as presented by Mansour et al ([53], [54], [56], [57], [52] and [55]), Yousof et al [67] and Salah et al [61].…”
Section: Discussionmentioning
confidence: 99%
“…However, future works may be allocated to study these new models. First, we consider the joint CDF of the FGM family, where 1) is a dependence parameter and for every τ, ς ∈ (0, 1), H(τ, 0) = H(0, ς) = 0 which is "grounded minimum" and H(τ, 1) = τ and…”
Section: Extensions Via Copulamentioning
confidence: 99%
“…Suppose that the failure time of each subsystem has the TL-Fr model defned by PDF and CDF in ( 1) and (2). Let Y i denote the failure time of the i (th) subsystem and let…”
Section: Genesis Physical Motivation and Justificationmentioning
confidence: 99%
“…Let (1) , (2) , … , ( ) be a random sample (RS) from the BXGNH distribution and 1, , 2, , … , , be the corresponding order statistics. The PDF of the th order statistic, say : , can be written as…”
Section: Order Statisticsmentioning
confidence: 99%