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 ...

ABSTRACT: The limit theory of a change-point process which is based on the Manhattan distance of the sample autocorrelation function with applications to GARCH processes is examined. The general ...