DocumentCode :
3036081
Title :
A new algorithm for parameters estimations of Multivariate Mixed Weibull Distributions with censoring data
Author :
Zhang, Xiaoqin ; Wang, Yu ; Lu, Dianjun
Author_Institution :
Financial & Econ. Coll., Qinghai Univ., Xining, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5703
Lastpage :
5706
Abstract :
Multivariate Mixed Weibull Distributions play an important role in life time data analysis. In this paper, by using the new algorithm, the maximize likelihood estimation is obtained for the multivariate mixed Weibull model under the normal stress life time test with complete sample data or censored samples. The iteration formulae are given in the paper. Simulation results show the performance of estimation.
Keywords :
Weibull distribution; data analysis; iterative methods; life testing; maximum likelihood estimation; censoring data; iteration formulae; life time data analysis; maximize likelihood estimation; multivariate mixed Weibull distributions; normal stress life time test; parameter estimation algorithm; Data models; Density functional theory; Maximum likelihood estimation; Parameter estimation; Random variables; Weibull distribution; EM algorithm; censored life time; maximize likelihood estimation; multivariate mixed Weibull distributions; parameters of estimate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002369
Filename :
6002369
Link To Document :
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