Abstract
Bayes and empirical Bayes estimates of the survival and hazard functions of a class of distributions are obtained. These estimates are compared with the corresponding maximum likelihood estimates. A Monte Carlo study is designed to perform this comparison, due to intractability of the estimators distributions from an analytical point of view.
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4 References
Lindley, D.V. (1980). Approximate Bayesian methods. In J. Bernardo, M. DeGroot, D. Lindley, and A. Smith (Eds.), Bayesian Statistics, Valencia, 1979, pp. 223–245. Univ. Press, Valencia.
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© 2001 Springer Science+Business Media New York
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Ahsanullah, M., Ahmed, S.E. (2001). Bayes and Empirical Bayes Estimates of Survival and Hazard Functions of a Class of Distributions. In: Ahmed, S.E., Reid, N. (eds) Empirical Bayes and Likelihood Inference. Lecture Notes in Statistics, vol 148. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0141-7_6
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DOI: https://doi.org/10.1007/978-1-4613-0141-7_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95018-1
Online ISBN: 978-1-4613-0141-7
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