Data reduction and error analysis for the physical sciences

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McGraw-Hill, 2003 - Mathematics - 320 pages
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The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.

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For over a decade this book has been my go-to source for methods of calculating uncertainty and for methods of non-linear model fitting. If I could only have a handful of technical books, this would be one of them.

Contents

Probability Distributions
17
Error Analysis
36
Estimates of Mean and Errors
51
Copyright

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