ARMA Model for Tracking Accelerated Corrosion Damage in a Steel Beam. [PDF]
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Estimation of ARMA(p, q) parameters
Signal Processing, 1991Abstract The need for estimating the parameters of an ARMA( p , q ) process arises in many applications both in signal processing and in automatic control. Recently, we proposed an estimation procedure to get the ARMA parameters. The method is based on a 2-step approach: first the AR parameters are estimated using a transient Kalman gain, then the ...
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Bayes inference in regression models with ARMA (p, q) errors
Journal of Econometrics, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Estimating the adjustment coefficient in an ARMA(p, q) risk model
Insurance: Mathematics and Economics, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A simple neural network for ARMA(p,q) time series
Omega, 2001Abstract This study was designed: (a) to investigate a simple neural-network solution to forecasting the special class of time series corresponding to a wide range of ARMA( p , q ) structures; (b) to study the significance of matching the input window size with the nature of time series.
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Analysis of ecological time series with ARMA(p,q) models
Ecology, 2010Autoregressive moving average (ARMA) models are useful statistical tools to examine the dynamical characteristics of ecological time‐series data. Here, we illustrate the utility and challenges of applying ARMA(p,q) models, wherepis the dimension of the autoregressive component of the model, andqis the dimension of the moving average component. We focus
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Estimation of a linear regression model with stationary ARMA(p, q) errors
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