A Renewal process is a general case of Poisson Process in which the inter-arrival time of the process or the time between failures does not necessarily follow the exponential distribution. A counting process N(t) that represents the total number of occurrences of an event in the time interval (0, t] is called a renewal process, if the time between failures are independent and identically distributed random variables.
The probability that there are exactly n failures occurring by time t can be written as,
Note that the times between the failures are T1, T2, …, Tn so the failures occurring at time are,
- The mean value function of the renewal process, denoted by m(t), is equal to the sum of the distribution function of all renewal times, that is,
- The renewal function, m(t), satisfies the following equation:
where is the distribution function of the inter-arrival time or the renewal period.
- Mathematics | Probability
- Mathematics | Conditional Probability
- Mathematics | Law of total probability
- Mathematics | Probability Distributions Set 1 (Uniform Distribution)
- Mathematics | Probability Distributions Set 5 (Poisson Distribution)
- Mathematics | Probability Distributions Set 4 (Binomial Distribution)
- Mathematics | Probability Distributions Set 2 (Exponential Distribution)
- Mathematics | Probability Distributions Set 3 (Normal Distribution)
- Nonhomogeneous Poisson Processes
- Bayes's Theorem for Conditional Probability
- Probability and Statistics | Simpson's Paradox (UC Berkeley's Lawsuit)
- Mathematics | Generalized PnC Set 1
- Mathematics | Generalized PnC Set 2
- Mathematics | Rules of Inference
- Mathematics | Predicates and Quantifiers | Set 2
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