Applied Statistics: Using SPSS, STATISTICA, MATLAB and R, Second Edition
- 8h 4m
- Joaquim P. Marques de Sá
- Springer
- 2007
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 engineering 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, and is illustrated by practical examples using real data. 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.
In this Book
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Symbols and Abbreviations
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Introduction
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Presenting and Summarising the Data
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Estimating Data Parameters
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Parametric Tests of Hypotheses
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Non-Parametric Tests of Hypotheses
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Statistical Classification
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Data Regression
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Data Structure Analysis
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Survival Analysis
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Directional Data
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References
