Applied Statistics Using SPSS, STATISTICA, MATLAB and R - Softcover

Marques De Sá, Joaquim P.

Softcover

ISBN 10: 3642437443 ISBN 13: 9783642437441

Verlag: Springer, 2014

Inhaltsangabe

This book provides broad coverage of statistical topics and methods, and goes further to include applications of real-life data and problems across a range of fields. An instructional guide is included showing how to use STATISTICA, SPSS and MATLAB in statistical analysis applications. The book includes the popular free R language as one of the application tools. This new Second Edition includes a section on bootstrap estimation methods, which have earned considerable popularity in practical applications It also expands the section on correlation measures, adding matters such as partial and multiple correlation.

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Über die Autorin bzw. den Autor

J.P. Marques de Sá is Full Professor at the Engineering Faculty of the University of Porto. He is chairman of the Signal Processing Group of the Institute of Biomedical Engineering, Porto. His research interests are in the areas of Physiological Signal Analysis, Pattern Recognition and Neural Networks. He is a reviewer for several scientific journals and chairman of the "Summer School on Neural Networks" annually held at Porto. He is author of six books, four in Portuguese and two in English.

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This successful textbook is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB, STATISTICA and R. The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATLAB, STATISTICA and R in statistical analysis applications without having to delve in the manuals.
Major improvements of the second edition are the inclusion of the R language as one of the application tools, a new section on bootstrap estimation methods, a revised explanation and treatment of tree classifiers as well as extra examples and exercises.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2014
• Sprache: Englisch
• ISBN 10: 3642437443
• ISBN 13: 9783642437441
• Einband: Taschenbuch
• Auflage: 2
• Anzahl der Seiten: 536
• Kontakt zum Hersteller: GPSR Kontakt; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Deutschland