DocumentCode
2129961
Title
Empirical Bayes estimation of the parameter for logarithm gamma distribution
Author
Jiaqing, Chen ; Cihua, Liu
Author_Institution
Department of Statistics, Wuhan University of Technology, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1149
Lastpage
1152
Abstract
In this study, the empirical Bayes (EB) estimators of the parameter are constructed for logarithm gamma distribution in the case of independent identically distributed samples. It is shown that the proposed EB estimators are asymptotically optimal with convergence rates can arbitrarily close O(n−½) under suitable conditions.
Keywords
Artificial neural networks; Convergence; Estimation; Exponential distribution; Markov processes; Probability density function; Random variables; convergence rate; empirical Bayes; logarithm gamma distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5690484
Filename
5690484
Link To Document