Bayesian estimation using Lindley’s approximation of Inverted Kumaraswamy distribution based on lower record values
Bayesian estimation using Lindley’s approximation of Inverted Kumaraswamy distribution based on lower record values
In this paper, we have considered estimation of unknown parameters based on lower record values for Inverted Kumaraswamy distribution. Maximum likelihood and approximate Bayes estimators based on lower record values for unknown parameters of this distribution are obtained. Lindley’s approximation (L-approximation) is used to obtain approximate Bayes estimators under DeGroot loss function based on lower record values. A Simulation study and a real data analysis are presented to illustrate the results. Publisher's Version
- ISIK UNIVERSITY Turkey
- Aligarh Muslim University India
- Aligarh Muslim University India
Lindley’s approximation, Inverted Kumaraswamy distribution, Bayesian estimation, Maximum likelihood estimation, DeGroot loss function
Lindley’s approximation, Inverted Kumaraswamy distribution, Bayesian estimation, Maximum likelihood estimation, DeGroot loss function
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