statistics, a stationary process (or a strict/strictly stationary process or strong/strongly stationary process) is a stochastic process whose unconditional...

trend-stationary process is a stochastic process from which an underlying trend (function solely of time) can be removed, leaving a stationary process. The...

stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. In essence this implies that the random process will...

time series to be non-stationary, yet have no unit root and be trend-stationary. In both unit root and trend-stationary processes, the mean can be growing...

distribution of a stationary process or stationary time series The set of joint probability distributions of a stationary process or stationary time series...

stochastic process. For a strongly stationary process, the conditional entropy for latest random variable eventually tend towards this rate value. A process X{\displaystyle...

proportion of time which the server is occupied. The probability that the stationary process is in state i (contains i customers, including those in service) is: 172–173 ...

time. If { X t } {\displaystyle \left\{X_{t}\right\}} is a weakly stationary (WSS) process, then the following are true:: p. 163  μ t 1 = μ t 2 ≜ μ {\displaystyle...

generally converge if the sample sequence comes from sampling almost any stationary process, in which case the sample sequence is not square summable, and is...

The term "stationary source" may refer to one of the following: A source of data produced by a stationary process, in the mathematical theory of probability...