This is a preview. Log in through your library . Abstract The estimation of spatial autocorrelation in spatially- and temporally-referenced data is fundamental to understanding an organism's ...

The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...

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.

The ESTIMATE statement fits an ARIMA(0,1,1) model to the simulated data. Note that in this case the parameter estimates are reasonably close to the values used to generate the simulated data. () The ...