Identification of Outliers

This book PDF is perfect for those who love Science genre, written by D. Hawkins and published by Springer which was released on 21 April 2014 with total hardcover pages 188. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Identification of Outliers books below.

Identification of Outliers
Author : D. Hawkins
File Size : 49,7 Mb
Publisher : Springer
Language : English
Release Date : 21 April 2014
ISBN : 9401539960
Pages : 188 pages
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Identification of Outliers by D. Hawkins Book PDF Summary

The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.

Identification of Outliers

The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number

DOWNLOAD
Identification of Outliers

The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number

DOWNLOAD
A Statistical Technique for Computer Identification of Outliers in Multivariate Data

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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both

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Robust Regression and Outlier Detection

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and

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An Empirical Evaluation of Procedures for the Identification of Outliers in Multivariate Data

Download or read online An Empirical Evaluation of Procedures for the Identification of Outliers in Multivariate Data written by Hyeseon Joo, 1962-, published by Unknown which was released on 1993. Get An Empirical Evaluation of Procedures for the Identification of Outliers in Multivariate Data Books now! Available in PDF, ePub and

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Outlier Analysis

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic

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How to Detect and Handle Outliers

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