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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.9
- 수록면
- 1,205 - 1,215 (11page)
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초록· 키워드
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In this paper, we aim to estimate two scale-parameters of exponentiated Pareto distribution (EPD) based on lower record values. Record values arise naturally in many real life applications involving data relating to weather, sport, economics and life testing studies. We calculate the Bayesian estimators for the two parameters of EPD based on lower record values. The Bayes estimators of two parameters for the EPD with lower record values under the squared error loss (SEL), linex loss (LL) and entropy loss (EL) functions are provided. Lindley`s approximate method is used to compute these estimators. We compare the Bayesian estimators in the sense of the bias and root mean squared estimates (RMSE).
목차
Abstract
1. Introduction
2. Maximum likelihood estimation
3. Bayes estimation
4. Illustrative examples
5. Simulation study
6. Conclusions
References
참고문헌 (27)
참고문헌 신청
Abd-El-Hakim, N. S. and Sultan, K. S. (2001). Maximum likelihood estimates of Weibull parameters based on record values. Journal of the Egyptian Mathematical Society, 9, 79-89.
Ahmadi, J., Jozani, M., Marchand, E. and Parsian, A. (2009). Bayes estimation based on k-record data from a general class of distributions under balanced type loss functions. Journal of Statistical Planning and Inference, 139, 1180-1189.
Arnold, B. C. and Press, S. J. (1983). Bayesian inference for Pareto populations. Journal of Econometrics, 21, 287-306.
Arnold, B. C., Balakrishnan, N. and Nagaraja, H. N. (1998). Records, John Wiley, New York.
Balakrishnan, N. and Chan, P. S. (1993). Record values from Rayleigh and Weibull distributions and associated inference. National Institute of Standards and Technology Journal of Research, 866, 41-51.
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UCI(KEPA) : I410-ECN-0101-2018-041-001796498