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Statistical Methods of Discrimination and Classification

Statistical Methods of Discrimination and Classification
Author: Sung C. Choi
Publisher: Elsevier
Total Pages: 145
Release: 2014-05-17
Genre: Mathematics
ISBN: 1483190986

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Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population. The book presents 13 papers that cover that advancement in the statistical procedure of discriminating and classifying. The studies in the text primarily focus on various methods of discriminating and classifying variables, such as multiple discriminant analysis in the presence of mixed continuous and categorical data; choice of the smoothing parameter and efficiency of k-nearest neighbor classification; and assessing the performance of an allocation rule. The book will be of great use to researchers and practitioners of wide array of scientific disciplines, including engineering, psychology, biology, and physics.


Discrimination and Classification

Discrimination and Classification
Author: David J. Hand
Publisher:
Total Pages: 240
Release: 1981-11-04
Genre: Mathematics
ISBN:

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Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.


Statistical Pattern Recognition

Statistical Pattern Recognition
Author: Andrew R. Webb
Publisher: Newnes
Total Pages: 476
Release: 1999
Genre: Computers
ISBN: 9780340741641

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"This book provides an introduction to statistical pattern recognition theory and techniques. Most of the material presented in this book is concerned with discrimination and classification and has been drawn from a wide range of literature including that of engineering, statistics, computer science and the social sciences. This book is an attempt to provide a concise volume containing descriptions of many of the most useful of today's pattern processing techniques including many of the recent advances in nonparametric approaches to discrimination developed in the statistics literature and elsewhere. The techniques are illustrated with examples of real-world applications studies. Pointers are also provided to the diverse literature base where further details on applications, comparative studies and theoretical developments may be obtained"--Page [xv].


Discriminant Analysis and Applications

Discriminant Analysis and Applications
Author: T. Cacoullos
Publisher: Academic Press
Total Pages: 455
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483268713

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Discriminant Analysis and Applications comprises the proceedings of the NATO Advanced Study Institute on Discriminant Analysis and Applications held in Kifissia, Athens, Greece in June 1972. The book presents the theory and applications of Discriminant analysis, one of the most important areas of multivariate statistical analysis. This volume contains chapters that cover the historical development of discriminant analysis methods; logistic and quasi-linear discrimination; and distance functions. Medical and biological applications, and computer graphical analysis and graphical techniques for multidimensional data are likewise discussed. Statisticians, mathematicians, and biomathematicians will find the book very interesting.


Multivariate Statistical Analysis

Multivariate Statistical Analysis
Author: Parimal Mukhopadhyay
Publisher: World Scientific
Total Pages: 568
Release: 2009
Genre: Mathematics
ISBN: 9812791752

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"This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each." "This book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians." --Book Jacket.


Data Analysis, Classification and the Forward Search

Data Analysis, Classification and the Forward Search
Author: Sergio Zani
Publisher: Springer Science & Business Media
Total Pages: 420
Release: 2007-08-06
Genre: Language Arts & Disciplines
ISBN: 3540359788

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This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.


Data Analysis, Classification, and Related Methods

Data Analysis, Classification, and Related Methods
Author: Henk A.L. Kiers
Publisher: Springer
Total Pages: 456
Release: 2000-06-21
Genre: Business & Economics
ISBN:

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The volume presents new developments in data analysis and classification, and gives a state of the art impression of these scientific fields at the turn of the Millennium. Areas that receive considerable attention in this book are Cluster Analysis, Data Mining, Multidimensional and Symbolic Data Analysis, Decision and Regression Trees. The volume contains a refereed selection of original research papers, overview papers, and innovative applications presented at the 7th Conference of the International Federation of Classification Societies (IFCS-2000), with contributions from eminent scientists all over the world. The reader finds introductory material into various areas and kaleidoscopic views of recent technical and methodological developments in widely different areas within data analysis and classification. The presence of a large number of application papers demonstrates the usefulness of the recently developed techniques. TOC:Cluster Analysis.- Discrimination, Regression Trees, and Data Mining.- Multivariate and Multidimensional Data Analysis.- Data Science.- Symbolic Data Analysis.


Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
Author: Daniel S. Wilks
Publisher: Academic Press
Total Pages: 698
Release: 2011-05-20
Genre: Mathematics
ISBN: 0123850223

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This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.


Discrimination and Privacy in the Information Society

Discrimination and Privacy in the Information Society
Author: Bart Custers
Publisher: Springer Science & Business Media
Total Pages: 370
Release: 2012-08-11
Genre: Technology & Engineering
ISBN: 3642304877

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Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.