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Analysis of variance, design and regression. Linear modeling for unbalanced data. 2nd revised edition. (English) Zbl 1388.62001
Chapman & Hall/CRC Texts in Statistical Science Series. Boca Raton, FL: CRC Press (ISBN 978-1-4987-3014-3/hbk; 978-1-4987-3018-1/ebook). xxv, 610 p. (2016).
The book focuses on modeling unbalanced data, being an extension of the first edition [Zbl 0868.62055], which was devoted to the study of balanced analysis of variance. It requires little enough knowledge regarding Mathematics, and has been written having in mind students following Master courses including Statistics. It is noteworthy that for different kinds of students (less or more prepared) there are different roadmaps. The most important topics in applied statistics are covered, the book being somehow encyclopedic. Being devoted to students mainly, each chapter includes illustrative examples and exercises. The most important thing about this book is that it provides traditional tools for future approaches in the big data domain since, as the author says, the machine learning techniques are directly based on the fundamental statistical methods.
MSC:
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62Jxx Linear inference, regression
62G08 Nonparametric regression and quantile regression
62K10 Statistical block designs
62K15 Factorial statistical designs
62-04 Software, source code, etc. for problems pertaining to statistics
62H17 Contingency tables
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