
In many reliability applications, there may not be a unique plausible scale in which to measure time to failure or assess performance. This is especially the case when several measures of usage are available on each unit. For example, the age, the total number of flight hours, and the number of landings are usage measures that are often considered important in aircraft reliability. Similarly, in medical or biological applications of survival analysis there are often alternative scales (e.g., Oakes, 1995). This paper considers the definition of a "good" time scale, along with methods of determining a time scale.
Reliability and life testing, reliability, Models, Statistical, usage measure, Estimation in survival analysis and censored data, Survival Analysis, survival analysis, time transformation, Time, exposure, accelerated lifetime models, Health Services Research, time-varying covariate
Reliability and life testing, reliability, Models, Statistical, usage measure, Estimation in survival analysis and censored data, Survival Analysis, survival analysis, time transformation, Time, exposure, accelerated lifetime models, Health Services Research, time-varying covariate
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