Applied Statistics Using SPSS, STATISTICA, MATLAB and R

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Four years have passed since the first edition of this book, allowing for valuable feedback from students and users to inspire improvements. The second edition features significant revisions while maintaining the original concept of a concise yet rigorous mathematical treatment focused on computer applications to real datasets. Key enhancements include the incorporation of R as a statistical analysis tool, reflecting its maturity and growing popularity. Chapter 3 now includes a section on bootstrap estimation methods, which have become widely used in practice. Chapter 6 has been revised to provide a clearer explanation of tree classifiers, including the QUEST approach. Chapter 7 has seen several improvements, such as a detailed discussion on multiple and partial correlation coefficients, enhanced coverage of ridge regression, and increased focus on model evaluation. Several chapters have been enriched with new examples and exercises, and the bibliography has been updated with new references.