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Locally most powerful sequential tests for discrete-time Markov processes-time Markov process. We construct a locally most powerful sequential test, which maximizes the derivative

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 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 for discrete-time Markov processes-time Markov process. We construct a locally most powerful sequential test, which maximizes the derivative

Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives is to characterize the structure of locally most powerful sequential tests in this problem. For any sequential test

Locally most powerful sequential tests of a simple hypothesis vs. One-sided alternatives for independent observations function of any sequential test and obtain some inequalities of informational type relating the average

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 of a simple hypothesis vs. one-sided alternatives is to characterize the structure of locally most powerful sequential tests in this problem. For any sequential test

Locally most powerful sequential tests of a simple hypothesis vs. One-sided alternatives for independent observations function of any sequential test and obtain some inequalities of informational type relating the average

A sequential d-guaranteed test for distinguishing two interval hypotheses guarantee of the sequential test, but has an explicit form. Also, our goal is to explore the characteristics

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