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 ...

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 ...

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 ...

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 ...

To compute the sample autocorrelation function when missing values are present, PROC ARIMA uses only cross products that do not involve missing values and employs divisors that reflect the number of ...