Statistical Data Analysis

by Glen Cowan

This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters then develop more advanced statistical ideas, focusing on interval estimation, characteristic functions, and correcting distributions for the effects of measurement errors (unfolding).

Genres: Science, Mathematics, Physics, Nonfiction

197 pages, ebook

First published February 28, 1998

Reviews

[Rgbqcd · Rating 4 out of 5]

A good, concise introduction to statistical methods for particle physics. Most text books are better as references, but this is a good book you can read chapter by chapter and it all feels useful. For example, the chapter on Monte Carlo methods is 5 pages, and while it doesn't tell you any deep details on how to implement them, it gives a good overview such you feel satisfied that you understand mostly how they work after after having no idea beforehand.