Autocorrelation, a statistical measure that evaluates the relationship between a variable’s past and present values, can provide insights into patterns and guide investment decisions. By analyzing how ...

When regression is performed on time series data, the errors may not be independent. Often errors are autocorrelated; that is, each error is correlated with the error ...

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 ...

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 ...

This is a preview. Log in through your library . Abstract When a wave passes through a large thickness of a non-absorbing medium containing weak random irregularities of refractive index, large ...

In nature, environmental conditions are forever changing, and movement by organisms across space can link disparate local habitats. The interplay of temporal variation and movement can generate ...