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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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1989

Authors and Affiliations

  • E. A. Nadaraya
    • 1
  1. 1.Tbilisi State UniversityTbilisiU.S.S.R.

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