Перевод: с английского на русский

с русского на английский

autoregressive process

См. также в других словарях:

  • Autoregressive — A stochastic process used in statistical calculations in which future values are estimated based on a weighted sum of past values. An autoregressive process operates under the premise that past values have an effect on current values. A process… …   Investment dictionary

  • Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …   Wikipedia

  • Autoregressive conditional heteroskedasticity — ARCH redirects here. For the children s rights organization, see Action on Rights for Children. In econometrics, AutoRegressive Conditional Heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used… …   Wikipedia

  • Autoregressive integrated moving average — In statistics, an autoregressive integrated moving average (ARIMA) model is a generalisation of an autoregressive moving average or (ARMA) model. These models are fitted to time series data either to better understand the data or to predict… …   Wikipedia

  • autoregressive conditional heteroskedasticity — ( ARCH) A nonlinear stochastic process, where the variance is time varying, and a function of the past variance. ARCH processes have frequency distributions which have high peaks at the mean and fat tails, much like fractal distributions. The… …   Financial and business terms

  • 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

  • Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Process — An econometric term developed in 1982 by Robert F. Engle, an economist and 2003 winner of the Nobel Memorial Prize for Economics to describe an approach to estimate volatility in financial markets. There are several forms of GARCH modeling. The… …   Investment dictionary

  • 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

  • Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) — A statistical model used by financial institutions to estimate the volatility of stock returns. This information is used by banks to help determine what stocks will potentially provide higher returns, as well as to forecast the returns of current …   Investment dictionary

  • Unit root — In time series models in econometrics, a linear stochastic process has a unit root if 1 is a root of the process s characteristic equation. The process will be non stationary. If the other roots of the characteristic equation lie inside the unit… …   Wikipedia

  • Durbin–Watson statistic — In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation (a relationship between values separated from each other by a given time lag) in the residuals (prediction errors) from a regression… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»