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Sinossi
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++.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
1 Uncertainties in Measurements
2 Probability Distributions
3 Error Analysis
4 Estimates of Mean and Errors
5 Monte Carlo Techniques
6 Least-Squares Fit to a Straight Line
7 Least-Squares Fit to a Polynomial
8 Least-Squares Fit to an Arbitrary Function
9 Fitting Composite Curves
10 Direct Application of the Maximum-Likelihood Method
11 Testing the Fit
Appendix A Numerical Methods
Appendix B Matrices
Appendix C Graphs and Tables
Appendix D Histograms and Graphs
Appendix E Computer Routines in Fortran
Product Description
Book by Bevington Philip Robinson D Keith
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Data Reduction and Error Analysis for the Physical Sciences
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McGraw-Hill Education, 2002
ISBN 10: 0072472278
ISBN 13: 9780072472271
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Data Reduction and Error Analysis for the Physical Sciences
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Data Reduction and Error Analysis for the Physical Sciences
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ISBN 13: 9780072472271
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Data Reduction and Error Analysis for the Physical Sciences
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