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| dc.contributor.author | Oluyede, Broderick | |
| dc.contributor.author | Yang, Tiantian | |
| dc.contributor.author | Makubate, Boikanyo | |
| dc.date.accessioned | 2026-03-16T10:17:18Z | |
| dc.date.available | 2026-03-16T10:17:18Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Oluyede, Broderick O., Tiantian Yang, Boikanyo Makubate. 2016. A New Class of Generalized Power Lindley Distribution with Applications to Lifetime Data. Asian Journal of Mathematics and Applications, 2016: 1-34. https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/626 | en_US |
| dc.identifier.issn | 307-7743 | |
| dc.identifier.uri | https://repository.biust.ac.bw/handle/123456789/733 | |
| dc.description.abstract | In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) distribution is proposed and studied. This class of distributions con- tains the Kumaraswamy Lindley (KL), exponentiated power Lindley (EPL), power Lindley (PL), generalized or exponentiated Lindley (GL), and Lindley (L) distributions as special cases. Series expansion of the density is obtained. Statistical properties of this class of distributions, including hazard function, reverse hazard function, monotonicity property, shapes, moments, reliability, quantile function, mean deviations, Bonferroni and Lorenz curves, entropy and Fisher information are derived. Method of maximum likelihood is used to estimate the parameters of this new class of distributions. Finally, a real data example is discussed to illustrate the applicability of this class of distribution. | en_US |
| dc.publisher | Asian Journal of Mathematics and Applications | en_US |
| dc.subject | Generalized Distribution | en_US |
| dc.subject | Lindley Distribution | en_US |
| dc.subject | Kumaraswamy Distribution | en_US |
| dc.subject | Power Lindley Distribution | en_US |
| dc.title | A New Class of Generalized Power Lindley Distribution with Applications to Lifetime DataApplications to Lifetime Data | en_US |
| dc.description.level | phd | en_US |
| dc.description.accessibility | unrestricted | en_US |
| dc.description.department | mss | en_US |
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