Abstract
This article discusses the issue of whether cross correlation should be tested by model dependent or model independent methods. Several different tests are proposed and their main properties are investigated analytically and with simulations. It is argued that model independent tests should be used in applied work.
DOI
10.22237/jmasm/1272686880
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
