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Find link is a tool written by Edward Betts.Longer titles found: Autoregressive moving-average model (view)
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Structural moving average model
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In finance, a structural moving average model (SMAM) is used to calculate account balances dynamically, but with a structured method of calculation. ThisSelf-Similarity of Network Data Analysis (2,264 words) [view diff] no match in snippet view article find links to article
dynamics the traditional time series models, such as an autoregressive moving average model are not appropriate. This is because these models only provide aWold's theorem (816 words) [view diff] no match in snippet view article find links to article
representation remarkable, but even more so is the special nature of the moving average model. Imagine creating a process that is a moving average but not satisfyingLinear model (831 words) [view diff] no match in snippet view article find links to article
. An example of a linear time series model is an autoregressive moving average model. Here the model for values { X t {\displaystyle X_{t}} } in a timeBreusch–Godfrey test (1,164 words) [view diff] exact match in snippet view article find links to article
Breusch–Pagan test Durbin–Watson test Ljung–Box test Autoregressive-moving-average model Breusch, T. S. (1978). "Testing for Autocorrelation in Dynamic LinearList of dynamical systems and differential equations topics (413 words) [view diff] exact match in snippet view article find links to article
Autoregressive process Unit root Moving average process Autoregressive–moving-average model Autoregressive integrated moving average Vector autoregressive modelMathematical model (4,766 words) [view diff] no match in snippet view article find links to article
incoming data. Alternatively, the NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous inputs) algorithms which were developed as part ofExponential smoothing (4,355 words) [view diff] no match in snippet view article find links to article
tssmooth command LibreOffice 5.2 Microsoft Excel 2016 Autoregressive moving average model (ARMA) Errors and residuals in statistics Moving average "NIST/SEMATECHNonlinear system identification (3,454 words) [view diff] no match in snippet view article find links to article
but they are for dynamic modelling. The nonlinear autoregressive moving average model with exogenous inputs (NARMAX model) can represent a wide class ofDistribution management system (3,276 words) [view diff] no match in snippet view article find links to article
time series models like Autoregressive (AR) model, Autoregressive moving average model (ARMA), Autoregressive integrated moving average (ARIMA) model andHistory of network traffic models (3,516 words) [view diff] no match in snippet view article find links to article
referred to as an auto-regressive model. It is referred to as a Moving Average Model (MAM), if it depends on only the inputs to the system. Finally,