Identifying the Closest Symmetric Distribution or Density Function

Abstract

The problem addressed is that of finding the "closest" symmetric distribution (density) to a given theoretical or empirical distribution (density) function. Measures of "closeness" considered include: weighted sup norm, weighted $L_p$ norm and Hellinger distance. Explicit formulas are given for the closest symmetric distribution function to the empirical distribution function in both sup norm and integrated square error.