Normal view MARC view ISBD view

Data reduction and error analysis for the physical sciences / Philip R. Bevington

Main Author Bevington, Philip R. Country Estados Unidos. Publication New York : McGraw-Hill, cop. 1969 Description 336 p. : il. ; 21 cm ISBN 0-07-005135-6 CDU 530.1
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Holdings
Item type Current location Call number Status Date due Barcode Item holds Course reserves
Monografia Biblioteca Geral da Universidade do Minho
BGUM3 530.1 - B Perdido | Lost Indisponível | Not available 3828-BCT
Monografia Biblioteca Geral da Universidade do Minho
BGUM3 530.1 - B Available 98696

Mestrado Integrado em Engenharia Física Laboratório de Mecânica Newtoniana 1º semestre

Mestrado em Física Métodos Avançados de Investigação Experimental 1º semestre

Mestrado em Física Mecânica Quântica Avançada 1º semestre

Mestrado Integrado em Engenharia de Materiais Laboratório Integrado 2 1º semestre

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++.

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

There are no comments for this item.

Log in to your account to post a comment.