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Analysis Approaches to Data of Both Age and Usage Attributes  

Jo, Jin-Nam (Department of Data & Information Science, Dongduk Women's University)
Baik, Jai-Wook (Department of Information Statistics, Korea National Open University)
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Abstract
For many products failures depend on age and usage and, in this case, failures are random points in a two-dimensional plane with the two axes representing age and usage. Models play an important role in decision-making. In this research, an accelerate failure test (AFT) model is proposed to deal with the two-dimensional data. The parameters are proposed to be estimated through maximum likelihood estimators.
Keywords
Two-dimensional data; accelerated life test model; maximum likelihood estimator;
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