Modern Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)

The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/ModernStatistics/

"In this book on Modern Statistics, the last two chapters on modern analytic methods contain what is very popular at the moment, especially in Machine Learning, such as classifiers, clustering methods and text analytics. But I also appreciate the previous chapters since I believe that people using machine learning methods should be aware that they rely heavily on statistical ones. I very much appreciate the many worked out cases, based on the longstanding experience of the authors. They are very useful to better understand, and then apply, the methods presented in the book. The use of Python corresponds to the best programming experience nowadays. For all these reasons, I thinkthe book has also a brilliant and impactful future and I commend the authors for that."

Professor Fabrizio Ruggeri

Research Director at the National Research Council, Italy

President of the International Society for Business and Industrial Statistics (ISBIS)

Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)