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Article Contents

TITLE PAGE

1.INTRODUCTION

1.1.What is density estimation?

1.2.Density estimates in the exploration and presentation of data

1.3.Further reading

2.SURVEY OF EXISTING METHODS

2.1.Introduction

2.2.Histograms

2.3.The naive estimator

2.4.The kernel estimator

2.5.The nearest neighbour method

2.6.The variable kernel method

2.7.Orthogonal series estimators

2.8.Maximum penalized likelihood estimators

2.9.General weight function estimators

2.10.Bounded domains and directional data

2.11.Discussion and bibliography