Title
Admissibility of estimators for exponential distribution based on progressively Type-II censored sample
Abstract
Bayesian and Empirical Bayesian estimatiors of the parameter of exponential distribution are obtained under weighted square error loss function based on progressively Type-II censored samples. The admissibility and inadmissibility of estimatrors with linear form are also discussed.
Year
DOI
Venue
2011
10.1109/EMEIT.2011.6023848
EMEIT
Keywords
Field
DocType
exponential distribution estimator,progressively type-ii censored sample,weighted square error loss function,admissibility,bayes methods,estimatror inadmissibility,error analysis,empirical bayesian estimator,bayesian and empirical bayesian estimator,estimatror admissibility,linear form,squared error loss function,exponential distribution
Efficient estimator,Minimax estimator,Bayesian linear regression,Minimum mean square error,Exponential distribution,Gamma distribution,Statistics,Bayes estimator,Mathematics,Estimator
Conference
Volume
Issue
ISBN
7
null
978-1-61284-087-1
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Wenwen Yue100.34
Weifan Huang200.68