Published in Monographs on Statistics and Applied
Probability, London: Chapman and Hall, 1986.
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Table of Contents
INTRODUCTION
What is density estimation?
Density estimates in the exploration and
presentation of data
Further reading
SURVEY OF EXISTING METHODS
Introduction
Histograms
The naive estimator
The kernel estimator
The nearest neighbour method
The variable kernel method
Orthogonal series estimators
Maximum penalized likelihood estimators
General weight function estimators
Bounded domains and directional data
Discussion and bibliography