Minimax Estimation of the Parameter of the Rayleigh Distribution under Quadratic Loss Function

Author:

Dey Sanku

Publisher

Ubiquity Press, Ltd.

Subject

Computer Science Applications,Computer Science (miscellaneous)

Reference8 articles.

1. Dey, S. & Das, M.K. (2007) A Note on Prediction Interval for a Rayleigh Distribution: Bayesian Approach. American Journal of Mathematical and Management Science 27(1&2), 43-48.

2. Dyer, D.D. & Whisenand, C.W. (1973) Linear unbiased estimator of the Rayleigh distribution - Part-I: Small sample theory for censored order statistics. IEEE Transactions on Reliability R-22 (1), 27-32.

3. Hartigan, J.A. (1964) Invariant prior distribution. Ann.Math.Statist. 35, 836-845.

4. Hodge, J.I. & Lehmann, E.L.(1950) Some problems in minimax estimation. Ann. Math. Stat. 21, 187-197.

5. Podder, C.K., Roy, M.K, Bhuiyan, & Karim, A. (2004) Minimax estimation of the parameter of the Pareto distribution under QUADRATIC and MLINEX loss functions. Pak. J. Statist.20 (1), 137-149.

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