- stochastic condition
- стохастическое условие
The English-Russian dictionary on reliability and quality control. 2015.
stochastic condition
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Stochastic resonance — (also known as SR) is observed when noise added to a system improves the systems performance in some fashion. More technically, SR occurs if the signal to noise ratio of a nonlinear system or device increases for moderate values of noise… … Wikipedia
Stochastic dominance — is a form of stochastic ordering. The term is used in decision theory to refer to situations where one lottery (a probability distribution over outcomes) can be ranked as superior to another. It is based on preferences regarding outcomes (e.g.,… … Wikipedia
Stochastic process — A stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system) in probability theory. Instead of dealing with only one possible reality of how the process might evolve under time (as is… … Wikipedia
Stochastic processes and boundary value problems — In mathematics, some boundary value problems can be solved using the methods of stochastic analysis. Perhaps the most celebrated example is Shizuo Kakutani s 1944 solution of the Dirichlet problem for the Laplace operator using Brownian motion.… … Wikipedia
Novikov's condition — In probability theory, Novikov s condition is the sufficient condition for a stochastic process which takes the form of the Radon Nikodym derivative in Girsanov s theorem to be a martingale. If satisfied together with other conditions, Girsanov s … Wikipedia
Marginal conditional stochastic dominance — In finance, marginal conditional stochastic dominance is a condition under which a portfolio can be improved in the eyes of all risk averse investors by incrementally moving funds out of one asset (or one sub group of the portfolio s assets) and… … Wikipedia
Filtering problem (stochastic processes) — In the theory of stochastic processes, the filtering problem is a mathematical model for a number of filtering problems in signal processing and the like. The general idea is to form some kind of best estimate for the true value of some system,… … Wikipedia
Hörmander's condition — In mathematics, Hörmander s condition is a property of vector fields that, if satisfied, has many useful consequences in the theory of partial and stochastic differential equations. The condition is named after the Swedish mathematician Lars… … Wikipedia
Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized … Wikipedia
Itō calculus — Itō calculus, named after Kiyoshi Itō, extends the methods of calculus to stochastic processes such as Brownian motion (Wiener process). It has important applications in mathematical finance and stochastic differential equations.The central… … Wikipedia
Itō diffusion — In mathematics mdash; specifically, in stochastic analysis mdash; an Itō diffusion is a solution to a specific type of stochastic differential equation. Itō diffusions are named after the Japanese mathematician Kiyoshi Itō.OverviewA (time… … Wikipedia
