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Applied Statistics

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Applied Statistics Synopsis

Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although the basic concept - concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets -, has been retained. The second edition improvements are as follows: Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. Extra examples and exercises have been added in several chapters. The bibliography has been revised and new references added.

About This Edition

ISBN: 9783540719717
Publication date: 8th June 2007
Author: J P Marques de Sá
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 505 pages
Genres: Probability and statistics
Stochastics
Cybernetics and systems theory
Maths for engineers
Mathematical and statistical software
Artificial intelligence