Properties and Applications of Metrics on Nonparametric Density Estimators

摘要

This reprint states that a fundamental nonparametric approach to statistical estimation and hypothesis testing is to estimate directly the underlying population distribution F by a random distribution F sub n based on a sample X sub 1,...,X sub n from F. Keywords: kernel functions; probability density function.