PHYS 652 Analysis of Experimental Error
Systematic and statistical uncertainties. Correlation, combination and propagation of errors. Minimum covariance determinant estimation. Least squares and maximum likelihood fitting. Conditioning of fitting parameters. Tests of significance and reliability. Computing of confidence levels. Fitting of Monte Carlo fractions to data histograms. Error interpretation of minimization algorithms. The course includes analyses of sample data using computational techniques. A working knowledge of FORTRAN and/or C/C++ is assumed.