Statistical data analysis

著者

書誌事項

Statistical data analysis

Glen Cowan

（Oxford science publications）

Clarendon Press , Oxford University Press, 1998

  • : hbk
  • : pbk

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注記

Bibliography: p. [188]-193

Includes index

内容説明・目次

内容説明

This book is a guide to the practical application of statistics in data analysis as typically encountered 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 are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

目次

  • Preface
  • Notation
  • 1. Fundamental Concepts
  • 2. Examples of Probability Functions
  • 3. The Monte Carlo Method
  • 4. Statistical Tests
  • 5. General Concepts of Parameter Estimation
  • 6. The Method of Maximum Likelihood
  • 7. The Method of Least Squares
  • 8. The Method of Moments
  • 9. Statistical Errors, Confidence Intervals and Limits
  • 10. Characteristic Functions and Related Examples
  • 11. Unfolding
  • Bibliography
  • Index

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