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Bayes Estimator of Generalized-Exponential Parameters under Linex Loss Function Using Lindley's Approximation
Author(s) -
R. Karan Singh,
Sanjay Kumar Singh,
Umesh Singh,
Gyan Prakash Singh
Publication year - 2008
Publication title -
data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.358
H-Index - 21
ISSN - 1683-1470
DOI - 10.2481/dsj.7.65
Subject(s) - scope (computer science) , computer science , usability , implementation , transparency (behavior) , open data , metadata , function (biology) , data science , world wide web , software engineering , computer security , human–computer interaction , evolutionary biology , biology , programming language
In this paper, we have obtained the Bayes Estimator of Generalized-Exponential scale and shape parameter using Lindley's approximation (L-approximation) under asymmetric loss functions. The proposed estimators have been compared with the corresponding MLE for their risks based on simulated samples from the Generalized-Exponential distribution

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