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Article | 20-September-2020

A New Quasi Sujatha Distribution

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

Rama Shanker, Kamlesh Kumar Shukla

Statistics in Transition New Series, Volume 21 , ISSUE 3, 53–71

Article | 06-July-2017

SUJATHA DISTRIBUTION AND ITS APPLICATIONS

, stochastic ordering, mean deviations, Bonferroni and Lorenz curves, and stress-strength reliability have been discussed. Estimation of its parameter has been discussed using the method of maximum likelihood and the method of moments. The applications and goodness of fit of the distribution have been discussed with three real lifetime data sets and the fit has been compared with one-parameter lifetime distributions including Akash, Shanker, Lindley and exponential distributions.

Rama Shanker

Statistics in Transition New Series, Volume 17 , ISSUE 3, 391–410

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