Ӧ�ø���ͳ�� 2012, 28(4) 380-388 DOI:      ISSN: 1001-4268 CN: 31-1256

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An Overview on Statistical Analysis for Masked System Lifetime Data
Xu Ancha, Tang Yincai
College of Mathematics and Information Science, Wenzhou University, School of Finance and Statistics, East China Normal University
Abstract:

System failure data from engineering
applications under a competing risks framework is widespread. As a
special form of these data, masked data plays an important role in
engineering. First, we illustrate the form of masked data and
distinguish it from the usual competing risk data. Then for series
systems or parallel systems, two approaches (maximum likelihood
method and Bayesian method) are introduced to analyze the masked
data, and a real data set is analyzed by the two methods.

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