On Quasi Lindley Distribution and Its Applications to Model Lifetime Data
Rama Shanker,
Hagos Fesshaye,
Shambhu Sharma
Issue:
Volume 2, Issue 1, March 2016
Pages:
1-7
Received:
3 March 2016
Accepted:
22 March 2016
Published:
14 April 2016
Abstract: In this paper mathematical and statistical properties including moment generating function, mean deviations about mean and median, order statistics, Bonferroni and Lorenz curves, Renyi entropy and stress strength reliability of quasi Lindley distribution (QLD) introduced by Shanker and Mishra (2013 a) have been derived and discussed. The goodness of fit of QLD over exponential and Lindley distributions have been illustrated with five real lifetime data-sets and found that QLD provides better fit than exponential and Lindley distributions.
Abstract: In this paper mathematical and statistical properties including moment generating function, mean deviations about mean and median, order statistics, Bonferroni and Lorenz curves, Renyi entropy and stress strength reliability of quasi Lindley distribution (QLD) introduced by Shanker and Mishra (2013 a) have been derived and discussed. The goodness o...
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Extended Intervened Geometric Distribution
C. Satheesh Kumar,
S. Sreejakumari
Issue:
Volume 2, Issue 1, March 2016
Pages:
8-13
Received:
3 March 2016
Accepted:
29 March 2016
Published:
25 April 2016
Abstract: Here we develop an extended version of the modified intervened geometric distribution of Kumar and Sreeja (The Aligarh Journal of Statistics, 2014) and investigate some of its important statistical properties. Parameters of the distribution are estimated by various methods of estimation such as the method of factorial moments, the method of mixed moments and the method of maximum likelihood. The distribution has been fitted to a real life data set for illustrating its practical relevance.
Abstract: Here we develop an extended version of the modified intervened geometric distribution of Kumar and Sreeja (The Aligarh Journal of Statistics, 2014) and investigate some of its important statistical properties. Parameters of the distribution are estimated by various methods of estimation such as the method of factorial moments, the method of mixed m...
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