gamma distribution;
continuation method;
maximum likelihood estimation;
reparameterization;
multiple solutions;
D O I:
10.1109/24.722287
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper shows a maximum-likelihood (ML) parameter estimation algorithm for the 3-parameter Gamma distribution. The algorithm, a combination of the continuation method and the extended Gamma. distribution model, can find the local ML estimates of the parameters without a careful selection of the starting point in the iterative process. This algorithm is more efficient than previous algorithms, and can find the multiple local ML estimates.
机构:
Hubei Univ Technol, Sch Mech Engn, Wuhan 430070, Hubei, Peoples R ChinaHubei Univ Technol, Sch Mech Engn, Wuhan 430070, Hubei, Peoples R China
Wen Chang-Jun
Liu Xin
论文数: 0引用数: 0
h-index: 0
机构:
Hubei Univ Technol, Sch Mech Engn, Wuhan 430070, Hubei, Peoples R ChinaHubei Univ Technol, Sch Mech Engn, Wuhan 430070, Hubei, Peoples R China
Liu Xin
Cheng Xin
论文数: 0引用数: 0
h-index: 0
机构:
Hubei Prov Prod Qual Control & Test Inst, Wuhan 430061, Hubei, Peoples R ChinaHubei Univ Technol, Sch Mech Engn, Wuhan 430070, Hubei, Peoples R China
Cheng Xin
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MACHINERY, ELECTRONICS AND CONTROL SIMULATION (MECS 2017),
2017,
138
: 426
-
431