Applied Statistics Using SPSS, STATISTICA and MATLAB
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Beschreibung
This books is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA. 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, MATALB and STATISTICA in statistical analysis applications without having to delve in the manuals. The accompanying CD-Rom includes several specific software tools for the topics described in the book, including a set of MATLAB functions for directional statistics as well as the data sets used in the examples and exercises covering a broad spectrum of areas from engineering, medicine, biology, psychology, economy, geology, and astronomy.
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most commonly used software packages. 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 and STATISTICA for analyses such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrating them by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Wide coverage of Statistical topics and methods Application to real life data and problems in various fields Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applications Including CD-ROM with datasets (sources: engineering, medicine, biology, geology) and tools Includes supplementary material: sn.pub/extras
Autor*in
Joaquim P. Marques de Sá
Themen in »Applied Statistics Using SPSS, STATISTICA and MATLAB«
Applied Statistics Binomial distribution Classification and Regression Conditional probability Data Description Directional Statistics MATLAB Multinomial distribution Normal distribution Probability theory SPSS STATISTICA Survival analysis Variance statistical analysis
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From the reviews:
"Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics … . 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 accompanying CD-ROM includes several specific software tools for the topics described in this book … ." (T. Postelnicu, Zentralblatt MATH, Vol. 1028, 2004)
From the reviews of the second edition:
"Readership: Students, professionals and research workers … who are interested in statistical methods and statistical program packages. The book is a … large treatment of many basic statistical methods and procedures. It presents both theoretical issues and a wide variety of applications, examples and exercises. These cover such areas as engineering, medicine, biology, psychology, economy, geology, and astronomy. … After all, I would easily recommend this book for those who are interested in the program packages mentioned in the title." (Kimmo Vehkalahti, International Statistical Review, Vol. 75 (3), 2007)
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