Please use this identifier to cite or link to this item: https://doi.org/10.1080/03610910701236081
Title: Failure data analysis with extended Weibull distribution
Authors: Zhang, T. 
Xie, M. 
Keywords: Extended Weibull distribution
Hazard-rate function
Parameter estimation
Weibull distribution
Weibull probability plot
Issue Date: May-2007
Source: Zhang, T., Xie, M. (2007-05). Failure data analysis with extended Weibull distribution. Communications in Statistics: Simulation and Computation 36 (3) : 579-592. ScholarBank@NUS Repository. https://doi.org/10.1080/03610910701236081
Abstract: A three-parameter distribution called extended Weibull distribution is investigated in this article. This model is generated by a method of introducing an additional parameter into a family of distributions by Marshall and Olkin (1997). It has two-parameter Weibull distribution as a special case. One of the merits of this distribution is that the hazard-rate can be increasing, decreasing, or initially increasing, then decreasing and eventually increasing. The model characterization based on the Weibull Probability Plot (WPP) is studied in this article. The WPP for actual data set can be concave, convex, or likely S-shaped. A procedure is provided for parameter estimation based on WPP. In addition, the maximum likelihood estimation is also presented. An example is shown to illustrate the procedure and application.
Source Title: Communications in Statistics: Simulation and Computation
URI: http://scholarbank.nus.edu.sg/handle/10635/63131
ISSN: 03610918
DOI: 10.1080/03610910701236081
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