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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
Robustification of Sequential Statistical Decision Rules for Stochastic Data Flows Analysis are used. The sequential statistical decision rules traditionally used loose their performance optimality
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
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
Municipal solid waste management in circular economy: A sequential optimization modelWe develop a sequential optimization model to analyze a circular economy framework where waste
Lower bounds for expected sample size of sequential procedures for the multinomial selection problems of sequential selection procedures are constructed for the problem of selecting the most probable event of k
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
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
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