We consider a stationary AR(1) process with ARCH(1) errors given by the stochastic difference equation $X_{t}=\alpha X_{t-1}+\sqrt{\beta +\lambda X_{t-1}^{2 ...
An important part of the identification and diagnostic checking of space-time ARMA models is the evaluation of the significance of the autocorrelations of the observations and residuals, respectively.
An autocorrelation function (ACF) measurement can only be performed after assessing a specific sample type for an appropriate probe particle type, concentration and size to obtain Microrheology data.
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