Statistics lectures have often been viewed with trepidation by engineering and science students taking an ancillary course in this subject. Whereas there are many texts showing `how' statistical methods are applied, until now there has been no textbook for non-statisticians providing a clear explanation of the underlying principles of data analysis. Data Analysis: A Bayesian Tutorial provides such a text, putting emphasis as much on understanding `why' and `when' certain statistical procedures should be used as `how'. This difference in approach makes the text ideal as a tutorial guide for senior undergraduates and research students, in science and engineering.

Recensione:

" ... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures." (Zeitscrift fur Kristallographie)

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