# Introduction

Chapter

## Abstract

The theory of statistical estimation is one of the basic branches of mathematical statistics. This theory is subdivided into parametric and nonparametric estimation. A nonparametric procedure is usually defined as a procedure which is valid independently of the distribution of the sampled observations. The problem of estimating the functional characteristics of a distribution law of observations belongs to problems of nonparametric estimation. In particular, in recent years there has been a growing interest in problems of estimating probability density and regression curves. This monograph is devoted to a study of these problems.

## Keywords

Regression Curve Confidence Region Density Estimator Nonparametric Estimation Nonparametric Estimator
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## Copyright information

© Kluwer Academic Publishers 1989