A simple class of sequential tests is proposed for testing the one-sided composite hypotheses $H_0: \theta \leq \theta_0$ versus $H_1: \theta \geq \theta_1$ for the natural parameter $\theta$ of an exponential family of distributions under the 0-1 loss and cost $c$ per observation. Setting $\theta_1 = \theta_0$ in these tests also leads to simple sequential tests for the hypotheses $H: \theta < \theta_0$ versus $K: \theta > \theta_0$ without assuming an indifference zone. Our analytic and numerical results show that these tests have nearly optimal frequentist properties and also provide approximate Bayes solutions with respect to a large class of priors. In addition, our method gives a unified approach to the testing problems of $H$ versus $K$ and also of $H_0$ versus $H_1$ and unifies the different asymptotic theories of Chernoff and Schwarz for these two problems.
@article{1176350840,
author = {Lai, Tze Leung},
title = {Nearly Optimal Sequential Tests of Composite Hypotheses},
journal = {Ann. Statist.},
volume = {16},
number = {1},
year = {1988},
pages = { 856-886},
language = {en},
url = {http://dml.mathdoc.fr/item/1176350840}
}
Lai, Tze Leung. Nearly Optimal Sequential Tests of Composite Hypotheses. Ann. Statist., Tome 16 (1988) no. 1, pp. 856-886. http://gdmltest.u-ga.fr/item/1176350840/