Statistics and Analysis of Scientific Data

  • Massimiliano┬áBonamente

Part of the Graduate Texts in Physics book series (GTP)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Massimiliano Bonamente
    Pages 1-14
  3. Massimiliano Bonamente
    Pages 15-47
  4. Massimiliano Bonamente
    Pages 49-75
  5. Massimiliano Bonamente
    Pages 77-99
  6. Massimiliano Bonamente
    Pages 101-123
  7. Massimiliano Bonamente
    Pages 125-141
  8. Massimiliano Bonamente
    Pages 143-163
  9. Massimiliano Bonamente
    Pages 165-176
  10. Massimiliano Bonamente
    Pages 177-187
  11. Massimiliano Bonamente
    Pages 189-219
  12. Back Matter
    Pages 221-301

About this book


Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data.

The main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and proactive use of the material for practical applications. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the students' understanding of the topic.


2-variable dataset Monte Carlo Markov chain methods Probability and applied statistics textbook data analysis methods distribution functions of statistics numerical Monte Carlo methods probability textbook random variable theories of probability statistical applications physics statistical data textbook

Authors and affiliations

  • Massimiliano┬áBonamente
    • 1
  1. 1.University of AlabamaHuntsvilleUSA

Bibliographic information

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