Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse
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“Discussion of Computer Programs,” “What to Watch Out For,” “Summary,” and “Problems” suggesting a couple of dozen of exercises for each chapter. This structure makes the book very reader-friendly written, helping to students and researchers in various fields to understand what for a statistical tool can serve, how to apply it, and to interpret computer outputs. There is not much of mathematical and statistical derivation, neither modern statistical techniques, but plenty of examples oriented to the easy “know-how” practical implementations of the classical multivariate methods.