Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. An ARMA or autoregressive moving average model is a forecasting ...
We consider the estimation problem for the parameter ϑ 0 of a stationary ARMA (p, q) process, with independent and identically, but not necessary normally distributed errors. First we prove local ...
Continuous-Time Autoregressive Moving Average (CARMA) processes extend the classical discrete-time ARMA framework to continuous time, offering a flexible modelling approach for phenomena where ...
Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...
A description of each TIMSAC package follows. Each description includes a list of the programs provided in the TIMSAC version. analyzes and controls the feedback systems (for example, cement kiln ...
This is a preview. Log in through your library . Abstract This paper considers adaptive estimation in nonstationary autoregressive moving average models with the noise sequence satisfying a ...
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