Power Xgamma distribution: properties, estimation, regression, simulation and applications
In this study, an extension of Xgamma distribution has been proposed and studied. The extension has an additional parameter accounting for the shape of the distribution. The properties of the proposed distribution were derived and discussed. The estimation of the parameters was done using the maximu...
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| Format: | Article |
| Language: | English |
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REA Press
2024-03-01
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| Series: | Computational Algorithms and Numerical Dimensions |
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| Online Access: | https://www.journal-cand.com/article_200757_45f64c877c4b716638271793c1d9f6be.pdf |
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| author | Okechukwu Obulezi Precious Ibeakuzie Ifeanyi Anabike Chinyere Igbokwe Harrison Etaga |
| author_facet | Okechukwu Obulezi Precious Ibeakuzie Ifeanyi Anabike Chinyere Igbokwe Harrison Etaga |
| author_sort | Okechukwu Obulezi |
| collection | DOAJ |
| description | In this study, an extension of Xgamma distribution has been proposed and studied. The extension has an additional parameter accounting for the shape of the distribution. The properties of the proposed distribution were derived and discussed. The estimation of the parameters was done using the maximum likelihood method. The study’s uniqueness is in developing a parametric regression model capable of competing with the classical regression model and also useful in the face of censored data. The applicability and flexibility were demonstrated using simulation studies and some lifetime data. |
| format | Article |
| id | doaj-art-5b32ba1379fc41aabe5cf21f46bfaf68 |
| institution | Kabale University |
| issn | 2980-7646 2980-9320 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Computational Algorithms and Numerical Dimensions |
| spelling | doaj-art-5b32ba1379fc41aabe5cf21f46bfaf682025-01-30T11:22:59ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202024-03-0131587210.22105/cand.2024.469136.1098200757Power Xgamma distribution: properties, estimation, regression, simulation and applicationsOkechukwu Obulezi0Precious Ibeakuzie1Ifeanyi Anabike2Chinyere Igbokwe3Harrison Etaga4Department of Statistics, Faculty of Sciences, Nnamdi Azikiwe University, Awka, Nigeria.Department of Statistics, Faculty of Sciences, Nnamdi Azikiwe University, Awka, Nigeria.Department of Statistics, Faculty of Sciences, Nnamdi Azikiwe University, Awka, Nigeria.Department of Statistics, School of Science and Industrial Technology, Abia State Polytechnic, Aba, Nigeria.Department of Statistics, Faculty of Sciences, Nnamdi Azikiwe University, Awka, Nigeria.In this study, an extension of Xgamma distribution has been proposed and studied. The extension has an additional parameter accounting for the shape of the distribution. The properties of the proposed distribution were derived and discussed. The estimation of the parameters was done using the maximum likelihood method. The study’s uniqueness is in developing a parametric regression model capable of competing with the classical regression model and also useful in the face of censored data. The applicability and flexibility were demonstrated using simulation studies and some lifetime data.https://www.journal-cand.com/article_200757_45f64c877c4b716638271793c1d9f6be.pdfpower xgamma distributioncovid-19 patientscd4 counthiv/aidslog-transformationparametric regression |
| spellingShingle | Okechukwu Obulezi Precious Ibeakuzie Ifeanyi Anabike Chinyere Igbokwe Harrison Etaga Power Xgamma distribution: properties, estimation, regression, simulation and applications Computational Algorithms and Numerical Dimensions power xgamma distribution covid-19 patients cd4 count hiv/aids log-transformation parametric regression |
| title | Power Xgamma distribution: properties, estimation, regression, simulation and applications |
| title_full | Power Xgamma distribution: properties, estimation, regression, simulation and applications |
| title_fullStr | Power Xgamma distribution: properties, estimation, regression, simulation and applications |
| title_full_unstemmed | Power Xgamma distribution: properties, estimation, regression, simulation and applications |
| title_short | Power Xgamma distribution: properties, estimation, regression, simulation and applications |
| title_sort | power xgamma distribution properties estimation regression simulation and applications |
| topic | power xgamma distribution covid-19 patients cd4 count hiv/aids log-transformation parametric regression |
| url | https://www.journal-cand.com/article_200757_45f64c877c4b716638271793c1d9f6be.pdf |
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