Data Reduction and Error Analysis for the Physical SciencesMcGraw-Hill Education, 2003 - 320 pagine 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++. |
Sommario
Probability Distributions | 17 |
Error Analysis | 36 |
Estimates of Mean and Errors | 51 |
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Data Reduction and Error Analysis for the Physical Sciences Philip R. Bevington,D. Keith Robinson Anteprima non disponibile - 2003 |
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100 CONTINUE Appendix approximation assume binomial distribution bins CALCCHISQ calculated CALIFORNIA Chapter CHISQR column correlation corresponding counts per minute data of Example data points data sample decay defined degrees of freedom determined digit ENDIF Equation error matrix estimate experiment experimental factor fiducial Figure fitting function function y(x Gaussian distribution Gaussian function Gaussian probability graph histogram independent variable integral interval inverse matrix kaon least-squares fit Legendre polynomials likelihood function linear linear-correlation coefficient mean µ minimum Monte Carlo method number of counts number of degrees number of events observations obtain parent distribution parent population particles peak plot Poisson distribution polynomial probability density probability density function probability distribution probability function problem random numbers result RETURN END routines SAN DIEGO square standard deviation starting values statistical Table tion uncertainties v₁ value of x² variance x₁ δα Σ Σ σ² σα σχ