Piotr Kulczycki Estymatory jadrowe w analizie systemowej WNT, Warsaw (Poland), 2005

Abstract:

The book presents the nonparametric method of statistical kernel estimators, which enables the convenient calculation and graphic illustration of characteristics of a random variable distribution, without knowing the class of distributions to which it belongs. Although the concept of kernel estimators is natural and simple, and its interpretation lucid, their practical use is impossible without using appropriate computer technology, a fact which - until recently - significantly hindered theoretical, and especially applicational research.

The book is intended for a broad range of readers applying data analysis and statistical methods to different contemporary scientific and practical problems. Primarily, complete procedures are given, allowing for desired results to be obtained without going into the theoretical aspects of the task under investigation. The presented material was illustrated by problems from widely understood systems analysis, as well as numerous computational examples. This helps in the understanding and application of the described methodology by persons without a strictly mathematical background, treating statistics and data analysis rather as tools in their varied research in engineering, econometrics, sociology, biomedicine and other related areas.