Answers are grounded in this paper and cite their sources.
The Weibull and the lognormal distributions are the most widely used models for analyzing a variety of data from different fields. It is often seen that the two models quite nicely represent a given data set although the concerned analyses and the related inferential procedures may differ drastically. It is, therefore, highly desirable to study the behavior of the two models for a given set of observations in the light of recent tool-kits of model comparison/model choice. The article considers examining the issue of choosing the right model through a simulation based Bayesian study using the output from the Gibbs sampler.
No takes yet. Share an insight, caveat, or question.
Upadhyay et al. (2003) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: