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Author
Shanker Rama (Assam University, Silchar, India), Shukla Kamlesh Kumar (Mainefhi College of Science, Asmara, Eritrea)
Title
A New Quasi Sujatha Distribution
Source
Statistics in Transition, 2020, vol. 21, nr 3, s. 53-71, rys., tab., bibliogr. s. 70-71
Keyword
Estymacja, Rozkład prawdopodobieństwa
Estimation, Probability distributions
Note
summ.
Abstract
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. (original abstract)
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The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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  10. SHANKER, R., HAGOS, F., (2015). Zero-truncated Poisson-Sujatha distribution with Applications, Journal of Ethiopian Statistical Association, 24, pp. 55-63.
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2020-044
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