In this paper, an analytical method and a bootstrap method are developed to evaluate the effect of classification errors on the bias and variance of estimated domain growth rates. The approaches are ...
Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...
This paper utilizes validation data on survey response error in the Current Population Survey to generalize the standard multinomial logit model to allow for spurious ...