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Statistical Methods of Discrimination and Classification

Statistical Methods of Discrimination and Classification
Author: Sung C. Choi
Publisher:
Total Pages: 152
Release: 1986
Genre: Computers
ISBN:

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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.


Distribution-free Discriminant Analysis

Distribution-free Discriminant Analysis
Author:
Publisher:
Total Pages: 20
Release: 1997
Genre:
ISBN:

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This report describes our experience in implementing a non-parametric (distribution-free) discriminant analysis module for use in a wide range of pattern recognition problems. Issues discussed include performance results on both real and simulated data sets, comparisons to other methods, and the computational environment. In some cases, this module performs better than other existing methods. Nearly all cases can benefit from the application of multiple methods.


Discriminant Analysis and Statistical Pattern Recognition

Discriminant Analysis and Statistical Pattern Recognition
Author: Geoffrey J. McLachlan
Publisher: John Wiley & Sons
Total Pages: 552
Release: 2005-02-25
Genre: Mathematics
ISBN: 0471725285

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.


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.


BMDP Statistical Software Manual

BMDP Statistical Software Manual
Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
Total Pages: 846
Release: 1992-01-01
Genre: Computers
ISBN: 9780520081390

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The BMDP package is an extensive collection of computer programs that aids students, instructors and research professionals the world over in analyzing data. Running on most mainframes, minicomputers and PCs, the BMDP software has capabilities ranging from plots and simple data description to more sophisticated techniques such as repeated measures analysis. Practitioners in diverse fields, from psychology, sociology and economics to biology, medicine and public health, should find the BDMP programs of use.


Applied MANOVA and Discriminant Analysis

Applied MANOVA and Discriminant Analysis
Author: Carl J. Huberty
Publisher: John Wiley & Sons
Total Pages: 524
Release: 2006-05-12
Genre: Mathematics
ISBN: 0471789461

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A complete introduction to discriminant analysis--extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly updated and revised, this book continues to be essential for any researcher or student needing to learn to speak, read, and write about discriminant analysis as well as develop a philosophy of empirical research and data analysis. Its thorough introduction to the application of discriminant analysis is unparalleled. Offering the most up-to-date computer applications, references, terms, and real-life research examples, the Second Edition also includes new discussions of MANOVA, descriptive discriminant analysis, and predictive discriminant analysis. Newer SAS macros are included, and graphical software with data sets and programs are provided on the book's related Web site. The book features: Detailed discussions of multivariate analysis of variance and covariance An increased number of chapter exercises along with selected answers Analyses of data obtained via a repeated measures design A new chapter on analyses related to predictive discriminant analysis Basic SPSS(r) and SAS(r) computer syntax and output integrated throughout the book Applied MANOVA and Discriminant Analysis enables the reader to become aware of various types of research questions using MANOVA and discriminant analysis; to learn the meaning of this field's concepts and terms; and to be able to design a study that uses discriminant analysis through topics such as one-factor MANOVA/DDA, assessing and describing MANOVA effects, and deleting and ordering variables.


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: 236
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.