Applied Statistics Using SPSS, STATISTICA, MATLAB and R [electronic resource] /
Marques de Sá, Joaquim P.author.
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.
Description based upon print version of record.
Includes bibliographical references (p. [491]-497) and index.
Presenting and Summarising the Data -- Estimating Data Parameters -- Parametric Tests of Hypotheses -- Non-Parametric Tests of Hypotheses -- Statistical Classification -- Data Regression -- Data Structure Analysis -- Survival Analysis -- Directional Data.
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.
SPSS (Computer file)
STATISTICA (Computer file)
MATLAB.
Statistics .
Probabilities.
Computer software.
Computational intelligence.
Computational complexity.
Applied mathematics.
Engineering mathematics.
R (Computer program language).
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability Theory and Stochastic Processes.
Mathematical Software.
Computational Intelligence.
Complexity.
Mathematical and Computational Engineering.