Identification Of Outliers
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Identification Of Outliers
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Author : D. Hawkins
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Identification Of Outliers written by D. Hawkins and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.
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.
A Statistical Technique For Computer Identification Of Outliers In Multivariate Data
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Author : Ram Swaroop
language : en
Publisher:
Release Date : 1971
A Statistical Technique For Computer Identification Of Outliers In Multivariate Data written by Ram Swaroop and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Medicine categories.
A statistical technique and the necessary computer program for editing multivariate data are presented. The technique is particularly useful when large quantities of data are collected and the editing must be performed by automatic means. One task in the editing process is the identification of outliers, or observations which deviate markedly from the rest of the sample. A statistical technique, and the related computer program, for identifying the outliers in univariate data was presented in NASA TN D-5275. The current report is a multivariate analog which considers the statistical linear relationship between the variables in identifying the outliers. The program requires as inputs the number of variables, the data set, and the level of significance at which outliers are to be identified. It is assumed that the data are from a multivariate normal population and the sample size is at least two greater than the number of variables. Although the technique has been used primarily in editing biodata, the method is applicable to any multivariate data encountered in engineering and the physical sciences. An example is presented to illustrate the technique.
Principles Of Data Mining And Knowledge Discovery
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Author : Jan Zytkow
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-09-01
Principles Of Data Mining And Knowledge Discovery written by Jan Zytkow and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-09-01 with Computers categories.
This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.
Identification Of Outliers In A One Way Random Effects Model
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Author : Jürgen Wellmann
language : en
Publisher:
Release Date : 2000
Identification Of Outliers In A One Way Random Effects Model written by Jürgen Wellmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
The Identification Of Outliers In Exponential Samples
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Author : Verena Schultze
language : en
Publisher:
Release Date : 1998
The Identification Of Outliers In Exponential Samples written by Verena Schultze and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Identification Of Dynamic Outliers
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Author : Kangkana Sarmah Baruah
language : en
Publisher:
Release Date : 2017
Identification Of Dynamic Outliers written by Kangkana Sarmah Baruah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Multivariate analysis categories.
Outlier Analysis
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2016-12-10
Outlier Analysis written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-10 with Computers categories.
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 algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
Secondary Analysis Of Electronic Health Records
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Author : MIT Critical Data
language : en
Publisher: Springer
Release Date : 2016-09-09
Secondary Analysis Of Electronic Health Records written by MIT Critical Data and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-09 with Medical categories.
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 individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
How To Detect And Handle Outliers
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Author : Boris Iglewicz
language : en
Publisher: ASQ Quality Press
Release Date : 1993
How To Detect And Handle Outliers written by Boris Iglewicz and has been published by ASQ Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Outliers (Statistics) categories.
Identification Of Outliers In Exponential Samples With Stepwise Procedures
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Author : Verena Schultze
language : en
Publisher:
Release Date : 2000
Identification Of Outliers In Exponential Samples With Stepwise Procedures written by Verena Schultze and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.