A new property of the inverse Gaussian distribution with applications
The main result of the paper is a monotonicity property of the likelihood ratios of inverse Gaussian distributions. This is then used to obtain improved estimators and confidence intervals for one of the parameters of the distribution, in a style similar to Stein's famous results for normal distributions.
scientific article; zbMATH DE number 1031792
scientific article