Applied Statistics Using SPSS, STATISTICA and MATLAB

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 text 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. 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. Introduction -- Presenting And Summarising The Data -- Estimating Data Parameters -- Parametric Tests Of Hypotheses -- Non-parametric Tests Of Hypotheses -- Statistical Classification -- Data Regression -- Data Structure Analysis -- Directional Data -- Appendix A - Short Survey On Probability Theory -- Appendix B - Distributions -- Appendix C - Point Estimation -- Appendix E - Tables -- Appendix E - Datasets -- Appendix F - Tools. By Joaquim P. Marques De Sá. 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 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 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. Front Matter....Pages i-xxii Introduction....Pages 1-20 Presenting and Summarising the Data....Pages 21-66 Estimating Data Parameters....Pages 67-84 Parametric Tests of Hypotheses....Pages 85-140 Non-Parametric Tests of Hypotheses....Pages 141-190 Statistical Classification....Pages 191-235 Data Regression....Pages 237-282 Data Structure Analysis....Pages 283-304 Survival Analysis....Pages 305-325 Directional Data....Pages 327-351 Back Matter....Pages 353-452