On evaluating Weibull fits to mechanical testing data

The use of coefficient of determination, R(2), and the Anderson-Darling (A(2)) hypothesis test to evaluate the goodness-of-fit to the two-parameter Weibull distribution was investigated. Results of Monte Carlo simulations for sample sizes between 5 and 100 indicated that guidelines provided previously in the literature are too conservative for sample sizes up to 80. New guidelines for the use of R(2) and A(2) for sample sizes between 5 and 100 have been developed. The two measures of goodness-of-fit were found to agree more than 95% of the time, regardless of sample size. The use of the new guidelines has been demonstrated on two datasets from the casting literature. (c) 2009 Elsevier B.V. All rights reserved.