Classification And Discriminant Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Classification And Discriminant Analysis PDF full book. Access full book title Classification And Discriminant Analysis.
Author | : Neil H. Timm |
Publisher | : Springer Science & Business Media |
Total Pages | : 709 |
Release | : 2007-06-21 |
Genre | : Mathematics |
ISBN | : 0387227717 |
Download Applied Multivariate Analysis Book in PDF, ePub and Kindle
This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.
Author | : Alan J. Izenman |
Publisher | : Springer Science & Business Media |
Total Pages | : 757 |
Release | : 2009-03-02 |
Genre | : Mathematics |
ISBN | : 0387781897 |
Download Modern Multivariate Statistical Techniques Book in PDF, ePub and Kindle
This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.
Author | : David J. Hand |
Publisher | : |
Total Pages | : 240 |
Release | : 1981-11-04 |
Genre | : Mathematics |
ISBN | : |
Download Discrimination and Classification Book in PDF, ePub and Kindle
Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.
Author | : T. Cacoullos |
Publisher | : Academic Press |
Total Pages | : 455 |
Release | : 2014-05-10 |
Genre | : Mathematics |
ISBN | : 1483268713 |
Download Discriminant Analysis and Applications Book in PDF, ePub and Kindle
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.
Author | : Sung C. Choi |
Publisher | : Elsevier |
Total Pages | : 145 |
Release | : 2014-05-17 |
Genre | : Mathematics |
ISBN | : 1483190986 |
Download Statistical Methods of Discrimination and Classification Book in PDF, ePub and Kindle
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.
Author | : Carl J. Huberty |
Publisher | : John Wiley & Sons |
Total Pages | : 524 |
Release | : 2006-05-12 |
Genre | : Mathematics |
ISBN | : 0471789461 |
Download Applied MANOVA and Discriminant Analysis Book in PDF, ePub and Kindle
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.
Author | : Donald G. Morrison |
Publisher | : Marketing Classics Press |
Total Pages | : 15 |
Release | : 2011-06-30 |
Genre | : Business & Economics |
ISBN | : 1613111711 |
Download Discriminant Analysis and Predictive Classification Book in PDF, ePub and Kindle
Author | : Ram Gnanadesikan |
Publisher | : National Academies Press |
Total Pages | : 116 |
Release | : 1988-01-01 |
Genre | : Cluster analysis |
ISBN | : |
Download Discriminant Analysis and Clustering Book in PDF, ePub and Kindle
Author | : Ignac Lovrek |
Publisher | : Springer Science & Business Media |
Total Pages | : 1079 |
Release | : 2008-08-18 |
Genre | : Business & Economics |
ISBN | : 3540855645 |
Download Knowledge-Based Intelligent Information and Engineering Systems Book in PDF, ePub and Kindle
Annotation The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the first volume are artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; evolutionary computation; machine learning and classical AI; agent systems; knowledge based and expert systems; intelligent vision and image processing; knowledge management, ontologies, and data mining; Web intelligence, text and multimedia mining and retrieval; and intelligent robotics and control.
Author | : Milan Meloun |
Publisher | : Woodhead Publishing Limited |
Total Pages | : 0 |
Release | : 2011 |
Genre | : Chemical engineering |
ISBN | : 9780857091093 |
Download Statistical Data Analysis Book in PDF, ePub and Kindle
Over the past decade, computer supported data analysis by statistical methods has been one of the fastest growth areas in chemometrics, biometrics and other related branches of natural, technical and social sciences. This has been strongly supported by the development of exploratory data analysis, testing assumptions about data, model and statistical methods and computer intensive techniques. This book presents a combination of individual topics with solved problems and a collection of experimental tasks. Methods suitable for extreme or small and large datasets are described. Presents a combination of individual topics in one complete volume featuring statistical analysis of univariate and multivariate data Interspersed throughout with solved problems and experimental tasks suitable for extreme or small and large datasets Features the interpretation of results based on the comprehensive information about data behaviour and validity of used assumptions