Abstract
A new family of inverse probability distributions named inverse Rayleigh family is introduced to generate many continuous distributions. The shapes of probability density and hazard rate functions are investigated. Some Statistical measures of the new generator including moments, quantile and generating functions, entropy measures and order statistics are derived. The Estimation of the model parameters is performed by the maximum likelihood estimation method. Furthermore, a simulation study is used to estimate the parameters of one of the members of the new family. The data application shows that the new family models can be useful to provide better fits than other lifetime models.
Recommended Citation
Hemeda, Saeed E. and ul Haq, Muhammad A.
(2020).
The Odd Inverse Rayleigh Family of Distributions: Simulation & Application to Real Data,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 15,
Iss.
2, Article 7.
Available at:
https://digitalcommons.pvamu.edu/aam/vol15/iss2/7