<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The present paper introduces an advanced five parameter lifetime model which is obtained by compounding exponentiated quasi power Lindley distribution with power series family of distributions. The EQPLPS family of distributions contains several lifetime sub-classes such as quasi power Lindley power series, power Lindley power series, quasi Lindley power series and Lindley power series. The proposed distribution exhibits decreasing, increasing and bathtub shaped hazard rate functions depending on its parameters. It is more flexible as it can generate new lifetime distributions as well as some existing distributions. Various statistical properties including closed form expressions for density function, cumulative function, limiting behaviour, moment generating function and moments of order statistics are brought forefront. The capability of the quantile measures in terms of Lambert W function is also discussed. Ultimately, the potentiality and the flexibility of the new class of distributions has been demonstrated by taking three real life data sets by comparing its sub-models.</p>
</abstract>

The present paper introduces an advanced five parameter lifetime model which is obtained by compounding exponentiated quasi power Lindley distribution with power series family of distributions. The EQPLPS family of distributions contains several lifetime sub-classes such as quasi power Lindley power series, power Lindley power series, quasi Lindley power series and Lindley power series. The proposed distribution exhibits decreasing, increasing and bathtub shaped hazard rate functions depending on its parameters. It is more flexible as it can generate new lifetime distributions as well as some existing distributions. Various statistical properties including closed form expressions for density function, cumulative function, limiting behaviour, moment generating function and moments of order statistics are brought forefront. The capability of the quantile measures in terms of Lambert W function is also discussed. Ultimately, the potentiality and the flexibility of the new class of distributions has been demonstrated by taking three real life data sets by comparing its sub-models.

Correction<sup>*</sup> Exponentiated quasi power Lindley power series distribution with applications in medical science

Journal of Applied Mathematics, Statistics and Informatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Correction Exponentiated quasi power Lindley power series distribution with applications in medical science

The present paper introduces an advanced five parameter lifetime model which is obtained by compounding exponentiated quasi power Lindley distribution with...

Correction^* Exponentiated quasi power Lindley power series distribution with applications in medical science

Online veröffentlicht: 24. Dez. 2020

Seitenbereich: 85 - 108

DOI: https://doi.org/10.2478/jamsi-2020-0011

Schlüsselwörter
Exponentiated Quasi Power Lindley distribution, Lambert W function, order statistics, MLE

© 2020 A. Hassan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Correction* Exponentiated quasi power Lindley power series distribution with applications in medical science

Online veröffentlicht: 24. Dez. 2020

Seitenbereich: 85 - 108

DOI: https://doi.org/10.2478/jamsi-2020-0011

SchlüsselwörterExponentiated Quasi Power Lindley distribution, Lambert W function, order statistics, MLE

© 2020 A. Hassan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Correction^* Exponentiated quasi power Lindley power series distribution with applications in medical science

Schlüsselwörter
Exponentiated Quasi Power Lindley distribution, Lambert W function, order statistics, MLE