This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimator

This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimator

Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variables and for samples of continuous or dis

About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility o

Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be