A new family of lifetime distributions is introduced via distribution of the upper record values, the well-known concept in survival analysis and reliability engineering. Some important properties of the proposed model including quantile function, hazard function, order statistics are obtained in a general setting. A special case of this new family is proposed by considering the exponential and Weibull distribution as the parent distributions. In addition estimating unknown parameters of specialized distribution is examined from the perspective of the traditional statistics. A simulation study is presented to investigate the bias and mean square error of the maximum likelihood estimators. Moreover, one example of real data set is studied; point and interval estimations of all parameters are obtained by maximum likelihood and bootstrap (parametric and non-parametric) procedures. Finally, the superiority of the proposed model in terms of the parent exponential distribution over other known distributions is shown via the example of real observations.
Upper record value order statistics maximum likelihood estimation bootstrap Weibull distribution
Primary Language | English |
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Subjects | Mathematical Sciences, Applied Mathematics |
Journal Section | Research Articles |
Authors | |
Publication Date | December 31, 2020 |
Submission Date | September 3, 2019 |
Acceptance Date | March 27, 2020 |
Published in Issue | Year 2020 Volume: 69 Issue: 2 |
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.
This work is licensed under a Creative Commons Attribution 4.0 International License.