تقدير معممات عملية وايبل التصادفية لبيانات غير كاملة : دراسة مقارنة

Abstract EN

This research deals with the study of the stochastic weibull process in two cases of incomplete data: the failure truncated case and the time truncated case.

These parameters were estimated using parametric method by the maximum likelihood method, to find the rate of occurrence failure times.

The kernel estimator was used as a non-parametric method for estimating the rate of occurrence and comparison between two estimators.

The unbiased estimator and confidence limits for the shape parameter were found in both cases This study includes practical application on stops times (hours) in oven the Badush Cement plant , as time rate is estimated to occur stops the oven and find kernel estimator and a comparative study of the results in both cases.

It is clear by comparing the efficiency and accuracy of estimating the parameters in the time truncated case best of failure truncated case , and that the time rate for occur stops oven continues to increase over time.