Proposed Entropy Loss function and application to find   Bayesian estimator for Exponential distribution parameter

	Proposed Entropy Loss function and application to find Bayesian estimator for Exponential distribution parameter
journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 23, Issue 97, 2017, Pages 438-452
Abstract
The aim of this paper to find Bayes estimator under new loss function assemble between symmetric and asymmetric loss functions, namely, proposed entropy loss function, where this function that merge between entropy loss function and the squared Log error Loss function, which is quite asymmetric in nature. then comparison a the Bayes estimators of exponential distribution under the proposed function, whoever, loss functions ingredient for the proposed function the using a standard mean square error (MSE) and Bias quantity (Mbias), where the generation of the random data using the simulation for estimate exponential distribution parameters different sample sizes (n=10,50,100) and (N=1000), taking initial values for the parameters and initial value b, to get to estimator balanced add between two loss function ,moreover, the optimal sample size determination under proposed entropy loss function.
Keywords
Bayesian estimator; Proposed Entropy Loss function; optimal sample size

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