Minimax shrunken technique for estimate burr X distribution shape parameter

Minimax shrunken technique for estimate burr X distribution shape parameter

The present paper concern with minimax shrinkage estimator technique in order to estimate Burr X distribution shape parameter, when prior information about the real shape obtainable as original estimate while known scale parameter. Derivation for Bias Ratio, Mean squared error and the Relative Effic...

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Bibliographic Details
Published in:Ibn Al-Haitham Journal for Pure and Applied Sciences Vol. 2017; no. s; pp. 484 - 489
Main Authors: Salman, Abbas Najm, Amin, Maymunah M., Abd al-Nabi, A. E.
Format: Journal Article
Language:English
Published: Baghdad, Iraq University of Baghdad, College of Education for Pure Science / Ibn al-Haitham 2017
Online Access:Get full text
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Summary:The present paper concern with minimax shrinkage estimator technique in order to estimate Burr X distribution shape parameter, when prior information about the real shape obtainable as original estimate while known scale parameter. Derivation for Bias Ratio, Mean squared error and the Relative Efficiency equations. Numerical results and conclusions for the expressions mentioned above were displayed. Comparisons for proposed estimator with most recent works were made.
ISSN:1609-4042
2521-3407