Search results
Results from the WOW.Com Content Network
The renewal process is a generalization of the Poisson process. In essence, the Poisson process is a continuous-time Markov process on the positive integers (usually starting at zero) which has independent exponentially distributed holding times at each integer i {\displaystyle i} before advancing to the next integer, i + 1 {\displaystyle i+1} .
Markov renewal processes are a class of random processes in probability and statistics that generalize the class of Markov jump processes.Other classes of random processes, such as Markov chains and Poisson processes, can be derived as special cases among the class of Markov renewal processes, while Markov renewal processes are special cases among the more general class of renewal processes.
The estimation of G–renewal process parameters is an ill–posed inverse problem, and therefore, the solution may not be unique and is sensitive to the input data. Krivtsov & Yevkin [ 9 ] [ 10 ] suggested first to estimate the underlying distribution parameters using the time to first failures only.
In the theory of renewal processes, a part of the mathematical theory of probability, the residual time or the forward recurrence time is the time between any given time and the next epoch of the renewal process under consideration.
The phase-type renewal process is a Markov arrival process with phase-type distributed sojourn between arrivals. For example, if an arrival process has an interarrival time distribution PH ( α , S ) {\displaystyle ({\boldsymbol {\alpha }},S)} with an exit vector denoted S 0 = − S 1 {\displaystyle {\boldsymbol {S}}^{0}=-S{\boldsymbol {1 ...
What links here; Related changes; Upload file; Special pages; Permanent link; Page information; Cite this page; Get shortened URL; Download QR code
A regenerative process is a stochastic process with time points at which, ... Renewal processes are regenerative processes, with T 1 being the first renewal. [5]
A counting process is a stochastic process {N(t), t ≥ 0} with values that are non-negative, integer, and non-decreasing: N(t) ≥ 0. N(t) is an integer. If s ≤ t then N(s) ≤ N(t). If s < t, then N(t) − N(s) is the number of events occurred during the interval (s, t]. Examples of counting processes include Poisson processes and Renewal ...