Template:Weibull Non-Parametric Recurrent Events Data Analysis

Non-Parameteric Recurrent Event Data Analysis
Non-parametric recurrent event data analysis provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]


 * Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
 * Estimate the average number or cost of repairs per unit during warranty or some time period.
 * Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
 * Predict future numbers and costs of repairs, such as the expected number of failures next month, quarter, or year.
 * Reveal unexpected information and insight.