Life distribution with censored data that is difficult to fit a distribution model
Hi SAS community We have a set of data 12 censored interval data points: (0-30, 0-30, 0-30s, 0-30, 0-30, 0-30, 0-30, 0-30, 0-30, 0-30, 89-119, 97-127)minutes. The data points indicates the time interval in which a failure of our product was observed. We want to calculate the time at which 90% of our products are failed (target is below 600minutes). Usually we use the life distribution menu to fit ...