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Paper Abstract and Keywords
Presentation 2019-07-26 15:30
On Parameter Estimation of Probability Distribution Related to Gamma Distribution
Takenori Sakumura (Hosei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this research, as the probability distribution related to the gamma distribution, the parameter estimation of the inverse gamma distribution and the inverse Nakagami m distribution is obtained in the closed form of the estimators which can not be obtained analytically by the conventional MLE, and also obtained their unbiased estimators. Simulation results show that the proposed unbiased estimator shows good performance as a result of comparing its performance under the square loss.
Keyword (in Japanese) (See Japanese page) 
(in English) gamma distribution / inverse gamma distribution / inverse Nakagami--$m$ distribution / modified MLE / unbiased estimator / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 150, R2019-17, pp. 19-24, July 2019.
Paper # R2019-17 
Date of Issue 2019-07-19 (R) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee R  
Conference Date 2019-07-26 - 2019-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Ichinoseki Cultural Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability Theory, Communication Network Reliability, Reliability General 
Paper Information
Registration To R 
Conference Code 2019-07-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Parameter Estimation of Probability Distribution Related to Gamma Distribution 
Sub Title (in English)  
Keyword(1) gamma distribution  
Keyword(2) inverse gamma distribution  
Keyword(3) inverse Nakagami--$m$ distribution  
Keyword(4) modified MLE  
Keyword(5) unbiased estimator  
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1st Author's Name Takenori Sakumura  
1st Author's Affiliation Hosei University (Hosei Univ.)
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Speaker
Date Time 2019-07-26 15:30:00 
Presentation Time 25 
Registration for R 
Paper # IEICE-R2019-17 
Volume (vol) IEICE-119 
Number (no) no.150 
Page pp.19-24 
#Pages IEICE-6 
Date of Issue IEICE-R-2019-07-19 


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