- autoregressive series
- авторегрессивные временные ряды
Англо-русский словарь нефтегазовой промышленности. 2011.
Англо-русский словарь нефтегазовой промышленности. 2011.
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 fractionally integrated moving average — In statistics, autoregressive fractionally integrated moving average models are time series models that generalize ARIMA ( autoregressive integrated moving average ) models by allowing non integer values of the differencing parameter and are… … Wikipedia
Autoregressive Integrated Moving Average - ARIMA — A statistical analysis model that uses time series data to predict future trends. It is a form of regression analysis that seeks to predict future movements along the seemingly random walk taken by stocks and the financial market by examining the … Investment dictionary
Autoregressive conditional duration — In financial econometrics, an autoregressive conditional duration (ACD, Engle and Russell (1998)) model considers irregularly spaced and autocorrelated intertrade durations. ACD is analogous to GARCH. Indeed, in a continuous double auction (a… … Wikipedia
Autoregressive Conditional Heteroskedasticity - ARCH — An econometric term used for observed time series. ARCH models are used to model financial time series with time varying volatility, such as stock prices. The ARCH concept was developed by economist Robert F. Engle, for which he won the 2003… … Investment dictionary
Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at … Wikipedia
Nonlinear autoregressive exogenous model — In time series modeling, a nonlinear autoregressive exogenous model (NARX) is a nonlinear autoregressive model which has exogenous inputs. This means that the model relates the current value of a time series which one would like to explain or… … Wikipedia
Regression Analysis of Time Series — Infobox Software name = RATS caption = developer = Estima latest release version = 7.0 latest release date = 2007 operating system = Cross platform genre = econometrics software license = Proprietary website =… … Wikipedia
авторегрессивные временные ряды — — [http://slovarionline.ru/anglo russkiy slovar neftegazovoy promyishlennosti/] Тематики нефтегазовая промышленность EN autoregressive series … Справочник технического переводчика