- stationary random process
- стационарный случайный процесс
Большой англо-русский и русско-английский словарь. 2001.
stationary random process
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Stationary ergodic process — In probability theory, stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. In essence this implies that the random process will not change its statistical properties with time.Stationarity is the… … Wikipedia
Random process — Т область определения случайного процесса; Источник: ГОСТ 21878 76: Случайные процессы и динамические системы. Термины и определения оригинал документа … Словарь-справочник терминов нормативно-технической документации
Random process with stationary in a wide sense increments — Источник: ГОСТ 21878 76: Случайные процессы и динамические системы. Термины и определения оригинал документа … Словарь-справочник терминов нормативно-технической документации
stationary stochastic process — noun a stochastic process in which the distribution of the random variables is the same for any value of the variable parameter • Hypernyms: ↑stochastic process … Useful english dictionary
Stationary process — In the mathematical sciences, a stationary process (or strict(ly) stationary process or strong(ly) stationary process) is a stochastic process whose joint probability distribution does not change when shifted in time or space. Consequently,… … Wikipedia
Point process — In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points either in time or geographical space, or in even more general spaces. For example, the occurrence … Wikipedia
Wiener process — In mathematics, the Wiener process is a continuous time stochastic process named in honor of Norbert Wiener. It is often called Brownian motion, after Robert Brown. It is one of the best known Lévy processes (càdlàg stochastic processes with… … Wikipedia
Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… … Wikipedia
Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to … Wikipedia
Cyclostationary process — A cyclostationary process is a signal having statistical properties that vary cyclically with time.[1] A cyclostationary process can be viewed as multiple interleaved stationary processes. For example, the maximum daily temperature in New York… … Wikipedia
Telegraph process — In probability theory, the telegraph process is a memoryless continuous time stochastic process that shows two distinct values. If these are called a and b, the process can be described by the following master equations: and The process is also… … Wikipedia
