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Khosrow fazli

Khosrow fazli

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 15026370900
Faculty: Faculty of Science
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Phone:

Research

Title
Hypotheses Testing for inhomigeneous Poisson Processes
Type
Presentation
Keywords
inhomogeneous Poisson process-hypotheses testing-large deviations principle-second order efficiency-locally asymptotically uniformly most powerful test.
Year
2007
Researchers Khosrow fazli

Abstract

We consider two problems. The first one is of two simple hypotheses testing and the second problem is the testing of simple hypothesis against a composite local alternative for the model of inhomogeneous Poisson processes. In both problems we construct the asymptotically optimal tests and describe the behaviour of errors using large deviation principle and the asymptotic expansion technique.