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.
Additional ISBNs
978-3-540-71972-4
Applied Statistics Using SPSS, STATISTICA, MATLAB and R Ebook
By: Joaquim P. Marques de S?
Publisher:
Palgrave Macmillan (Springer Nature)
Print ISBN: 9783540719717, 3540719717
eText ISBN: 9783540719724, 3540719725
Edition: 2nd
Copyright year: 2007
Format: PDF
Available from $ 59.40 USD
SKU: 9783540719724R180
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