Monotone Empirical Bayes Test for Uniform Distributions Using the Maximum Likelihood Estimator of a Decreasing Density
van Houwelingen, J. C.
Ann. Statist., Tome 15 (1987) no. 1, p. 875-879 / Harvested from Project Euclid
An empirical Bayes test for testing $\vartheta \leq \vartheta_0$ against $\vartheta > \vartheta_0$ for the uniform distribution on $\lbrack 0, \vartheta)$ is discussed. The relation is shown with the estimation of a decreasing density on $\lbrack 0, \infty)$ and a monotone empirical Bayes test is derived based on the least-concave majorant of the empirical distribution function. The asymptotic distribution of the Bayes risk is obtained and some Monte Carlo results are given.
Publié le : 1987-06-14
Classification:  Empirical Bayes,  monotone test,  uniform distribution,  decreasing density,  maximum likelihood estimator,  concave majorant,  62C12,  62F12
@article{1176350381,
     author = {van Houwelingen, J. C.},
     title = {Monotone Empirical Bayes Test for Uniform Distributions Using the Maximum Likelihood Estimator of a Decreasing Density},
     journal = {Ann. Statist.},
     volume = {15},
     number = {1},
     year = {1987},
     pages = { 875-879},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176350381}
}
van Houwelingen, J. C. Monotone Empirical Bayes Test for Uniform Distributions Using the Maximum Likelihood Estimator of a Decreasing Density. Ann. Statist., Tome 15 (1987) no. 1, pp.  875-879. http://gdmltest.u-ga.fr/item/1176350381/