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A locally directionally maximin test for a multidimensional parameter with order-restricted alternatives
Novikov P.
of the locally most powerful test for the case of a multidimensional parameter. We show that for the two
A locally directionally maximin test for a multidimensional parameter with order-restricted alternatives
Novikov P.
of the locally most powerful test for the case of a multidimensional parameter. We show that for the two
Locally most powerful sequential tests for discrete-time Markov processes
Novikov P.
-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
of the power function among all (finite-horizon) sequential tests whose error probability of the first type
Locally most powerful sequential tests for discrete-time Markov processes
Novikov P.
-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 for independent observations
Novikov A., Novikov P.
tests. In the second part of the work we characterize the structure of locally most powerful (in
Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives
Novikov A., Novikov P.
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
Novikov A., Novikov P.
tests. In the second part of the work we characterize the structure of locally most powerful (in
Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives
Novikov A., Novikov P.
is to characterize the structure of locally most powerful sequential tests in this problem. For any sequential test
Comparative analysis of monocular slam algorithms using tum and euroc benchmarks
Mingachev E., Lavrenov R., Magid E., Svinin M.
these qualities under the computational and power constraints of embedded hardware. Simultaneous localization

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