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Citation Information : Statistics in Transition New Series. Volume 21, Issue 3, Pages 53-71, DOI: https://doi.org/10.21307/stattrans-2020-044
License : (CC BY-NC-ND 4.0)
Received Date : 30-November-2017 / Accepted: 20-April-2020 / Published Online: 20-September-2020
The aim of this paper is to introduce a new quasi Sujatha distribution (NQSD), of which the following are particular cases: the Sujatha distribution devised by Shanker (2016 a), the sizebiased Lindley distribution, and the exponential distribution. Its moments and momentsbased measures are derived and discussed. Statistical properties, including the hazard rate and mean residual life functions, stochastic ordering, mean deviations, Bonferroni and Lorenz curves and stress-strength reliability are also analysed. The method of moments and the method of maximum likelihood estimations is discussed for estimating parameters of the proposed distribution. A numerical example is presented to test its goodness of fit, which is then compared with other one-parameter and two-parameter lifetime distributions.
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