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Statistical Data Analysis / Edition 1

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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).

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Product Details

  • ISBN-13: 9780198501558
  • Publisher: Oxford University Press, USA
  • Publication date: 3/28/1998
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 216
  • Sales rank: 756,066
  • Product dimensions: 9.10 (w) x 6.10 (h) x 0.60 (d)

Meet the Author

University of Siegen
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Table of Contents

Notation
1 Fundamental concepts 1
2 Examples of probability functions 26
3 The Monte Carlo method 40
4 Statistical tests 46
5 General concepts of parameter estimation 64
6 The method of maximum likelihood 70
7 The method of least squares 95
8 The method of moments 114
9 Statistical errors, confidence intervals and limits 118
10 Characteristic functions and related examples 143
11 Unfolding 153
Bibliography 188
Index 194
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