Graduate Texts in Physics

Statistics and Analysis of Scientific Data

Authors: Bonamente, Massimiliano

  • Introduces the statistical techniques most commonly employed in physical sciences and engineering
  • Makes clear distinction between material that is strictly mathematical and theoretical, and practical applications of statistical methods
  • Expanded to cover selected core statistical methods used in business science
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eBook $59.99
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-1-4939-6572-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.99
price for USA
valid through November 5, 2017
  • ISBN 978-1-4939-6570-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. 

Features new to this edition include: 

• a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets.
• a new chapter on the various measures of the mean including logarithmic averages.
• new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors.
• a new case study and additional worked examples.
• mathematical derivations and theoretical background material have been appropriately marked, to improve the readability of the text.
• end-of-chapter summary boxes, for easy reference.

As in the first edition, 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 practical application of the material. 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 readers' understanding of the topic.

About the authors

Max Bonamente is Professor of Astrophysics at the University of Alabama, Huntsville.

Table of contents (16 chapters)

  • Theory of Probability

    Bonamente, Massimiliano

    Pages 1-15

  • Random Variables and Their Distributions

    Bonamente, Massimiliano

    Pages 17-33

  • Three Fundamental Distributions: Binomial, Gaussian, and Poisson

    Bonamente, Massimiliano

    Pages 35-54

  • Functions of Random Variables and Error Propagation

    Bonamente, Massimiliano

    Pages 55-83

  • Maximum Likelihood and Other Methods to Estimate Variables

    Bonamente, Massimiliano

    Pages 85-106

Buy this book

eBook $59.99
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-1-4939-6572-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.99
price for USA
valid through November 5, 2017
  • ISBN 978-1-4939-6570-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistics and Analysis of Scientific Data
Authors
Series Title
Graduate Texts in Physics
Copyright
2017
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Busines Media New York
eBook ISBN
978-1-4939-6572-4
DOI
10.1007/978-1-4939-6572-4
Hardcover ISBN
978-1-4939-6570-0
Series ISSN
1868-4513
Edition Number
2
Number of Pages
XVII, 318
Number of Illustrations and Tables
36 b/w illustrations, 4 illustrations in colour
Topics