Download PDF Applied Statistics Using SPSS, STATISTICA, MATLAB and R by Joaquim P. Marques de Sá

Sinopsis

This book is intended as a reference book for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using STATISTICA, SPSS and MATLAB. The book chapters provide a comprehensive coverage of the main statistical analysis topics (data description, statistical inference, classification and regression, factor analysis, survival data, directional statistics) that one faces in practical problems, discussing their solutions with the mentioned software packages.

The only prerequisite to use the book is an undergraduate knowledge level of mathematics. While it is expected that most readers employing the book will have already some knowledge of elementary statistics, no previous course in probability or statistics is needed in order to study and use the book. The first two chapters introduce the basic needed notions on probability and statistics. In addition, the first two Appendices provide a short survey on Probability Theory and Distributions for the reader needing further clarification on the theoretical foundations of the statistical methods described.

The book is partly based on tutorial notes and materials used in data analysis disciplines taught at the Faculty of Engineering, Porto University. One of these management. The students in this course have a variety of educational backgrounds and professional interests, which generated and brought about datasets and analysis objectives which are quite challenging concerning the methods to be applied and the interpretation of the results. The datasets used in the book examples and exercises were collected from these courses as well as from research. They are included in the book CD and cover a broad spectrum of areas: engineering, medicine, biology, psychology, economy, geology, and astronomy.

Every chapter explains the relevant notions and methods concisely, and is 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 STATISTICA, SPSS or MATLAB; therefore, the reader has the opportunity to closely follow what is being done. The book is not intended as a substitute for the STATISTICA, SPSS and MATLAB user manuals. It does, however, provide the necessary guidance for applying the methods taught without having to delve into the manuals. This includes, for each topic explained in the book, a clear indication of which

STATISTICA, SPSS or MATLAB tools to be applied. These indications appear in use the tools, whenever necessary. In this way, a comparative perspective of the specific “Commands” frames together with a complementary description on how tocapabilities of those software packages is also provided, which can be quite useful for practical purposes.

STATISTICA, SPSS or MATLAB do not provide specific tools for some of the statistical topics described in the book. These range from such basic issues as the choice of the optimal number of histogram bins to more advanced topics such as directional statistics. The book CD provides these tools, including a set of MATLAB functions for directional statistics.

Content

1. Introduction
2. Presenting and Summarising the Data
3. Estimating Data Parameters
4. Parametric Tests of Hypotheses
5. Non-Parametric Tests of Hypotheses
6. Statistical Classification
7. Data Regression
8. Data Structure Analysis
9. Survival Analysis
10. Directional Data

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