2 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Loss Functions for Detecting Outliers in Panel Data
Charles D. Coleman, Thomas Bryan
The detection of outliers is of critical importance in the assurance of data quality. Outliers may exist in observed data or in data derived from these observed data, such as estim…
Loss Functions for Measuring the Accuracy of Nonnegative Cross-Sectional Predictions
Charles D. Coleman
Measuring the accuracy of cross-sectional predictions is a subjective problem. Generally, this problem is avoided. In contrast, this paper confronts subjectivity up front by elicit…
A New Way to Look at Regional Survey Data: Differences in Vacancy Rates and Persons per Household by County, 2000-2005
Charles D. Coleman, Jonathan F. Takeuchi
Regional survey estimates and their significance levels are simultaneously displayed in maps that show all 3,141 U.S. counties and equivalents. An analyst can focus his attention o…
The Importance of Variable Importance
Charles D. Coleman
Variable importance is defined as a measure of each regressor's contribution to model fit. Using R^2 as the fit criterion in linear models leads to the Shapley value (LMG) and prop…