Parameter Estimation of Generalized Gamma Distribution under Different Loss Functions

Abstract

In this paper, generalized gamma distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, K loss, and Al Bayyati’s loss functions by using quasi and inverted gamma priors. Arun Kumar Rao | Himanshu Pandey "Parameter Estimation of Generalized Gamma Distribution under Different Loss Functions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38052.pdf Paper URL : https://www.ijtsrd.com/mathemetics/other/38052/parameter-estimation-of-generalized-gamma-distribution-under-different-loss-functions/arun-kumar-rao

Authors and Affiliations

Arun Kumar Rao | Himanshu Pandey

Keywords

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  • EP ID EP692257
  • DOI -
  • Views 153
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How To Cite

Arun Kumar Rao (2020). Parameter Estimation of Generalized Gamma Distribution under Different Loss Functions. International Journal of Trend in Scientific Research and Development, 5(1), -. https://europub.co.uk/articles/-A-692257