دانلود کتاب مدل‌های تصادفی گسسته و کاربردها برای مهندسی قابلیت اطمینان و کنترل کیفیت آماری

It has become increasingly apparent that many problems involving uncertainty in various fields of science provide important examples to discrete stochastic models. There are many real-life engineering systems and processes which may be described by discrete stochastic variables. The number of failed wind turbines during a spec- ified period of time in a wind farm, the total number of collected subsamples until an out-of-control signal in a specific production process, the number of failed com- ponents in a technical system at the time when the system fails, and the number of arrivals to a certain service station can be all modeled by a discrete stochastic vari- able. Further, the lifetimes of many real-life systems/components are defined as the number of cycles until their failure. For example, the lifetime of car tires are mea- sured in terms of the number of kilometers or the number of days; the lifetime of a switch is measured by the number of times it is switched on/off.