Title :
Admissibility of estimators for exponential distribution based on progressively Type-II censored sample
Author :
Wenwen Yue ; Weifan Huang
Author_Institution :
Electron. & Inf. Eng., Jiangxi Vocational Coll. of Mech. & Electr. Technol., Nanchang, China
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.
Keywords :
Bayes methods; error analysis; exponential distribution; empirical Bayesian estimator; estimatror admissibility; estimatror inadmissibility; exponential distribution estimator; linear form; progressively type-II censored sample; weighted square error loss function; Bayesian methods; Educational institutions; Exponential distribution; Maximum likelihood estimation; Reliability theory; Bayesian and Empirical Bayesian estimator; admissibility; progressively Type-II Censored Sample; squared error loss function;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023848
