Abstract
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.
Highlights
The statistical distribution theory has been widely explored by researchers in recent years
We ...rst derive the fundamental and statistical properties of GU RG in a general setting and we propose a special case of this model by considering Weibull distribution instead of the parent distribution G and exponential distribution instead of the parent distribution F for ...xed value n = 2
We present the distribution of the ith order statistic from the GU REW distribution
Summary
The statistical distribution theory has been widely explored by researchers in recent years. Given the fact that the data from our surrounding environment follow various statistical models, it is necessary to extract and develop appropriate highquality models. Sometimes it is necessary to provide applications from. Order statistics, maximum Likelihood estimation, bootstrap, Weibull distribution. C 2020 Ankara University C om munications Faculty of Sciences U niversity of A nkara-Series A 1 M athem atics and Statistics. See the Samuel et al (2018) and Ababneh et al
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