MTU Library Catalogue

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Data reduction and error analysis for the physical sciences / Philip R. Bevington, D. Keith Robinson.

By: Bevington, Philip R, 1933-.
Contributor(s): Robinson, D. Keith.
Material type: materialTypeLabelBookPublisher: Boston : McGraw-Hill, 2002Edition: 3rd ed.Description: xi, 306 p. ; 23 cm. + pbk.ISBN: 9780071199261.Subject(s): Multivariate analysis | Error analysis (Mathematics) | Least squares | Data reductionDDC classification: 519
Contents:
Uncertainties in measurements -- Probability distributions -- Error analysis -- Estimates of mean and errors -- Monte Carlo techniques -- Least-Squares fit to a straight line -- Least-Squares fit to polynomial -- Least-Squares fit to an arbitrary function -- Fitting composite curves -- Direct application of the maximum-likelihood method -- Testing the fit.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519 (Browse shelf(Opens below)) 1 Available 00132289
Total holds: 0

Enhanced descriptions from Syndetics:

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++.

Includes bibliographical references (pages 307-308) and index.

Uncertainties in measurements -- Probability distributions -- Error analysis -- Estimates of mean and errors -- Monte Carlo techniques -- Least-Squares fit to a straight line -- Least-Squares fit to polynomial -- Least-Squares fit to an arbitrary function -- Fitting composite curves -- Direct application of the maximum-likelihood method -- Testing the fit.

CIT Module MATH 6056 - Supplementary reading.

CIT Module MATH 6000 - Supplementary reading

Table of contents provided by Syndetics

  • 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