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Statistical Methods in Exper Phy(2ed)

by James Frederick

Statistical analysis for experimental physics

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AlbakiReads Editorial

Statistical analysis for experimental physics

James Frederick’s second edition brings together statistical approaches used to interpret experimental data and compare measurements with scientific theories. It covers both frequentist and Bayesian methodologies, with particular attention to confidence intervals, including the Feldman–Cousins method. The book combines theoretical discussion with practical techniques, and the edition adds updated material to the first edition’s coverage. Its subject and level place it within the working toolkit of quantitative research in physics and related sciences.

Good fit for readers who enjoy

  • Advanced graduate students in the physical sciences seeking a textbook on statistical data analysis.
  • Physicists and other scientists looking for a reference on interpreting experimental data.

Themes

Statistical data analysisExperimental physicsFrequentist and Bayesian methodsConfidence intervalsScientific inference

Based on publisher information and book metadata.

Book overview

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. Both frequentist and Bayesian methodologies are presented, with a strong emphasis on techniques useful to physicists and other scientists in the interpretation of experimental data and comparison with scientific theories. This is a valuable textbook for advanced graduate students in the physical sciences as well as a reference for active researchers.
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