New method removes bias in testing Weibull shape parameter, improving accuracy.
The article explores a new way to test a statistical hypothesis about the shape of a Weibull distribution. Instead of using improper priors, the researchers use fractional Bayes factors to make the testing more accurate. This method removes the uncertainty caused by improper priors. A numerical example is provided to demonstrate the effectiveness of this approach.
