Statistical Data Analysis

by Glen Cowan

Overview

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).

Product Details

ISBN-13:	9780198501565
Publisher:	Oxford University Press
Publication date:	06/04/1998
Series:	Oxford Science Publications
Pages:	212
Product dimensions:	6.40(w) x 9.30(h) x 0.70(d)

About the Author

University of Siegen

Table of Contents

PrefaceNotation1. Fundamental Concepts2. Examples of Probability Functions3. The Monte Carlo Method4. Statistical Tests5. General Concepts of Parameter Estimation6. The Method of Maximum Likelihood7. The Method of Least Squares8. The Method of Moments9. Statistical Errors, Confidence Intervals and Limits10. Characteristic Functions and Related Examples11. UnfoldingBibliographyIndexPrefaceNotation1. Fundamental Concepts2. Examples of Probability Functions3. The Monte Carlo Method4. Statistical Tests5. General Concepts of Parameter Estimation6. The Method of Maximum Likelihood7. The Method of Least Squares8. The Method of Moments9. Statistical Errors, Confidence Intervals and Limits10. Characteristic Functions and Related Examples11. UnfoldingBibliographyIndex

Editorial Reviews

"I believe the author did an admirable job in presenting a wealth of material in a limited space." — W. Jason Owen, Technometrics, August 2000, Vol 42, No 3

Noted in Quarterly of Applied Mathematics, Vol LVIII, June 2000, No. 2

From the Publisher