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