Review: likelihood method for fitting Weibull log-linear models to accelerated life-test data

The analysis of data from accelerated life-test experiments via the method of maximum likelihood estimation must, for a Weibull log-linear model, be performed numerically. This paper promotes a particular log-likelihood as the basis for such inferences, and introduces notation and formulae to aid the implementation of various numerical methods. Two examples illustrate the performance of a widely-used maximization technique; these examples indicate that the performance of this technique compares favorably with that from commercially available software. >