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Graduate Texts in Physics

Statistics and Analysis of Scientific Data

Authors: Bonamente, Massimiliano

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  • Includes numerical tables of data for critical distribution functions, making the textbook a self-contained guide for students
  • Covers the theory and practice of Monte Carlo Markov chains, a leading tool for the analysis of complex data sets, and a topic virtually absent in other textbooks
  • 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
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eBook 59,49 €
price for Spain (gross)
  • ISBN 978-1-4614-7984-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,88 €
price for Spain (gross)
  • ISBN 978-1-4899-9480-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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About this Textbook

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.

About the authors

Massimiliano Bonamente is Associate Professor of Physics at the University of Alabama in Huntsville. He has taught more than 1500 students, written more than 30 peer reviewed journal articles, and has received more than 1.2 million dollars in research grants and contracts.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-1-4614-7984-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,88 €
price for Spain (gross)
  • ISBN 978-1-4899-9480-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistics and Analysis of Scientific Data
Authors
Series Title
Graduate Texts in Physics
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Busines Media New York
eBook ISBN
978-1-4614-7984-0
DOI
10.1007/978-1-4614-7984-0
Softcover ISBN
978-1-4899-9480-6
Series ISSN
1868-4513
Edition Number
1
Number of Pages
XV, 301
Topics