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Student's Guide to Data and Error Analysis

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ISBN-10: 0521134927

ISBN-13: 9780521134927

Edition: 2011

Authors: Herman J. C. Berendsen

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This is a concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers.
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Book details

Copyright year: 2011
Publisher: Cambridge University Press
Publication date: 4/7/2011
Binding: Paperback
Pages: 238
Size: 5.98" wide x 8.90" long x 0.51" tall
Weight: 0.836
Language: English

Herman J. C. Berendsen is Emeritus Professor of Physical Chemistry at the University of Groningen. His research focuses on biomolecular modeling and computer simulations of complex systems. He has taught hierarchical modeling worldwide and is highly regarded in this field.

Data and Error Analysis:
Introduction
The presentation of physical quantities with their inaccuracies
Errors: classification and propagation
Probability distributions
Processing of experimental data
Graphical handling of data with errors
Fitting functions to data
Back to Bayes: knowledge as a probability distribution Answers to exercises
Appendices
Combining uncertainties
Systematic deviations due to random errors
Characteristic function
From binomial to normal distributions
Central limit theorem
Estimation of the varience
Standard deviation of the mean
Weight factors when variances are not equal
Least squares fitting
Python codes
Scientific data: Chi-squared distribution F-distribution
Normal distribution
Physical constants
Probability distributions
Student's t-distribution
Units