This well-accepted introduction to computational statistics with MATLAB is a textbook for high-level undergraduate and low-level graduate courses. The focus is on the implementation of the statistical methods and algorithms. Hence the book is well suited for students in computer science and engineering. Some of the methods in computational statistics enable the researcher to explore the data before other analyses are performed. These techniques are especially important with high-dimensional data sets. Moreover, modern insights in computational statistics are used to provide new solutions that are both efficient and easy to understand and implement. All the basic techniques and topics from computational statistics, as well as several more advanced topics (jackknife method, spatial statistics, some techniques for statistical pattern recognition, etc.), are covered. The book is largely self-contained and can be used for self-study by anyone with a basic background in algorithms. Finally, the authors provide detailed algorithms by MATLAB code for the methods presented in the book.
Reviewer: J.Martyna (Kraków)