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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 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 Group-Sequential Tests with Groups of Observations of Random Size: Finite Horizon© 2018, Pleiades Publishing, Ltd. We consider sequential hypothesis testing based on observations
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
Performance Analysis for Sequential Statistical Discrimination of Gaussian Random Fields manufacturing procedures and predicting disease spread. This paper proposes a sequential procedure for testing
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
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
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