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 ...

Autocorrelation has long been recognized as a natural phenomenon in process industries, where parameters such as temperature and pressure vary slowly relative to the rate at which they are measured.

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 ...

Simulations are necessary to assess the performance of home-range estimators because the true distribution of empirical data is unknown, but we must question whether that performance applies to ...

This is the twelfth in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

This is a preview. Log in through your library . Abstract The degree of spatial autocorrelation in population fluctuations increases with dispersal and geographical covariation in the environment, and ...

A series of theoretical studies has formed a strong connection between spatial statistics observed in populations and summary measures of the amount of dispersal. Synthesized, these developments allow ...

Binary sequences are fundamental components in modern digital communications, cryptography, and signal processing. Their autocorrelation properties – a measure of similarity between a sequence and its ...

In a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2022.210045, researchers from the National University of Singapore, Singapore, discuss confocal laser speckle autocorrelation ...