Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Joaquim P. Marques de Sá3540719717, 978-3-540-71971-7

This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.

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Table of contents :
Cover……Page 1
Applied Statistics Using SPSS, STATISTICA, MATLAB and R……Page 2
Contents……Page 6
Preface to the Second Edition……Page 13
Preface to the First Edition……Page 14
Symbols and Abbreviations……Page 16
1 Introduction……Page 22
2 Presenting and Summarising the Data……Page 50
3 Estimating Data Parameters……Page 102
4 Parametric Tests of Hypotheses……Page 131
5 Non-Parametric Tests of Hypotheses……Page 190
6 Statistical Classification……Page 242
7 Data Regression……Page 290
8 Data Structure Analysis……Page 348
9 Survival Analysis……Page 372
10 Directional Data……Page 394
Appendix A – Short Survey on Probability Theory……Page 421
Appendix B – Distributions……Page 448
Appendix C – Point Estimation……Page 472
Appendix D – Tables……Page 476
Appendix E – Datasets……Page 486
Appendix F – Tools……Page 503
References……Page 507
Index……Page 514