Data Analysis
A Bayesian Tutorial
Devinderjit Sivia
Master the complex subject of data analysis with this tutorial guide. Intended for senior undergraduates and research students in science and engineering, this book employs a logical and unified approach to Bayesian probability theory, illustrated by real-world examples. Topics also include reliability analysis, hypothesis testing, and experimental design. The second edition features a new chapter on outlier handling and a contribution on the latest numerical technique for Bayesian computation. Let this book be your key to unlocking the mysteries of statistical analysis.