New Modified Singh-Maddala Distribution: Development, Properties, Characterizations And Applications
Journal of Data Science 17(3): 551-574
Article 2021 English
Authors
FB
Fiaz Ahmad Bhatti
GH
G. G. Hamedani
MK
Mustafa Ç. Korkmaz
Abstract
1 min read
In this paper, a new five-parameter extended Burr XII model called new modified Singh-Maddala (NMSM) is developed from cumulative hazard function of the modified log extended integrated beta hazard (MLEIBH) model. The NMSM density function is left-skewed, right-skewed and symmetrical. The Lambert W function is used to study descriptive measures based on quantile, moments, and moments of order statistics, incomplete moments, inequality measures and residual life function. Different reliability and uncertainty measures are also theoretically established. The NMSM distribution is characterized via different techniques and its parameters are estimated using maximum likelihood method. The simulation studies are performed on the basis of graphical results to illustrate the performance of maximum likelihood estimates (MLEs) of the parameters. The significance and flexibility of NMSM distribution is tested through different measures by application to two real data sets.
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