Approximation of Generalized Compound Ray leigh Distribution Parameters Through Bayesian with General Entropy

Authors

  • Prof. Uma Srivastava Department of Mathematics & Statistics, DDU Gorakhpur University, Gorakhpur, UP, 273009 (India) Author
  • Parul Yadav Department of Mathematics & Statistics, DDU Gorakhpur University, Gorakhpur, UP, 273009 (India) Author
  • Satya Prakash Singh KIPM College of Engineering, GIDA, Gorakhpur, UP, India Author

DOI:

https://doi.org/10.61841/dm0njh67

Keywords:

Bayes estimate, R- Programming, Approximation, Lindley Technique, Generalized Compound Rayleigh distribution, General Entropy loss function

Abstract

This paper considers the Bayes estimate of Location parameter α of three parameter Generalized Compound Rayleigh distribution with a chaotic loss known as General Entropy loss function (GELF). The Lindley approximation is applied to obtain the Approximate Bayes estimate of Location parameter of Generalized Compound Rayleigh distribution under the GELF. The obtained results are compared through R-programming.

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References

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3. Dubey(1968): A compound weibull distribution; Wiley online Library

4. Ferguson, Thomas S. (1967): “Mathematical Statistics: A Decision Theoretic Approach”. Academic press, New York.

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6. Lindley, D.V. (1980): “Approximate Bayesian Method”. Trab. Esta., Vol. 31, pp 223-237.

7. Soliman, A.A. (2001): “Linex and Quadratic Approximate Bayesian Estimators Applied to Pareto Model”, Communication in Statistics - Simulation Vol. 30, No.1, pp 47-62.

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Published

19.12.2019

Issue

Vol. 23 No. 6 (2019): 23 (6) 2019

Section

Articles

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How to Cite

Srivastava, P. U., Yadav, P., & Singh, S. P. (2019). Approximation of Generalized Compound Ray leigh Distribution Parameters Through Bayesian with General Entropy. International Journal of Psychosocial Rehabilitation, 23(6), 1862-1869. https://doi.org/10.61841/dm0njh67