• Javid Ahmad Reshi
• Shabir Ahmad Rather
• Arshad Hussain Bhat
• Vahida Akhter
• Rafiq Ahmad Rather

Abstract: In this paper, we have considered the Generalized Gamma Distribution with its structural properties. Various special cases of proposed model are defined and studied. The estimation of parameters of said model and its special cases are obtained by employing the computational MLE technique. A comparative study has been done between Generalized Gamma Distribution and its special cases by using -log L, AIC and BIC criteria on the basis of simulated and real life data sets. From this study, it was observed that Generalized Gamma, Gamma and Rayleigh Distributions are better fitted models as compared to other probabilistic models for simulated as well as proposed real life data sets.

Generalized Gamma Distribution, MLE, AIC, BIC and R software.

"Applicability and Capability of Generalized Gamma Model using R Software", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.392-400, July-2018, Available :http://www.jetir.org/papers/JETIR1807302.pdf

"Applicability and Capability of Generalized Gamma Model using R Software", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp392-400, July-2018, Available at : http://www.jetir.org/papers/JETIR1807302.pdf