Please use this identifier to cite or link to this item: https://doi.org/10.1080/03610926.2011.588363
Title: Generalized confidence interval for the scale parameter of the power-law process
Authors: Wang, B.X.
Xie, M. 
Zhou, J.X.
Keywords: Generalized confidence interval
Non homogeneous Poisson process
Power-law process
Repairable system
Scale parameter
Issue Date: 1-Mar-2013
Source: Wang, B.X., Xie, M., Zhou, J.X. (2013-03-01). Generalized confidence interval for the scale parameter of the power-law process. Communications in Statistics - Theory and Methods 42 (5) : 898-906. ScholarBank@NUS Repository. https://doi.org/10.1080/03610926.2011.588363
Abstract: The power-law process is widely used in the analysis of repairable system reliability. In this article, interval estimation for the scale parameter is investigated under some general conditions. A procedure to derive a generalized confidence interval for the scale parameter is presented. We also study the accuracy of the generalized confidence interval by Monte Carlo simulation. Finally, two examples are shown to illustrate the proposed procedure. © 2013 Taylor & Francis Group, LLC.
Source Title: Communications in Statistics - Theory and Methods
URI: http://scholarbank.nus.edu.sg/handle/10635/63143
ISSN: 03610926
DOI: 10.1080/03610926.2011.588363
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