Multiple Objects: Error Exponents in Hypotheses Testing and Identification
Statistics Theory
2012-04-16 v1 Statistics Theory
Abstract
We servey a series of investigations of optimal testing of multiple hypotheses conserning various multiobject models. These studies are a bright instance of application of methods and technics developed in Shannon information theory to solution of typical statistical problems.
Keywords
Cite
@article{arxiv.1204.2975,
title = {Multiple Objects: Error Exponents in Hypotheses Testing and Identification},
author = {Evgueni Haroutunian and Parandzem Hakobyan},
journal= {arXiv preprint arXiv:1204.2975},
year = {2012}
}
Comments
35 pages, 2 figures