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A locally directionally maximin test for a multidimensional parameter with order-restricted alternativesIn this paper we propose a locally directionally maximin test which is a generalization
Locally Most Powerful Group-Sequential Tests with Groups of Observations of Random Size: Finite Horizon© 2018, Pleiades Publishing, Ltd. We consider sequential hypothesis testing based on observations
Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives is an open subset of the real line. We consider the problem of testing a simple hypothesis H0: θ = θ0 vs. a
METHOD FOR TESTING A HYPOTHESIS OF THE COMPENSATION LAWMETHOD FOR TESTING A HYPOTHESIS OF THE COMPENSATION LAW
A locally directionally maximin test for a multidimensional parameter with order-restricted alternativesIn this paper we propose a locally directionally maximin test which is a generalization
Locally most powerful sequential tests of a simple hypothesis vs. One-sided alternatives for independent observations distribution Pθ depend on an unknown parameter θ. In this paper we consider the problem of testing a simple
Information inequalities for characteristics of group-sequential test with groups of observations of random size© 2016, Allerton Press, Inc.We consider a group-sequential test for testing a simple hypothesis
Locally most powerful sequential tests for discrete-time Markov processesWe consider a problem of testing H0:θ = θ0 against H1:θ > θ0, where θ is a parameter of a discrete
Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives is an open subset of the real line. We consider the problem of testing a simple hypothesis H0: θ = θ0 vs. a
Information inequalities for characteristics of group-sequential test with groups of observations of random size© 2016, Allerton Press, Inc.We consider a group-sequential test for testing a simple hypothesis
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