Title :
Likelihood-ratio detection
Author :
Aref, Mohammad R. ; Nayebi, Mohammad M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Tech., Iran
fDate :
27 Jun-1 Jul 1994
Abstract :
The composite hypothesis test for the case of unknown distribution for an unknown parameter is considered, and it is shown that the optimum test is the average likelihood ratio test with uniform fθ ; it is equivalent to the uniformly most powerful (UMP) test, if there is a UMP test for the problem, and it performs essentially better than the generalised likelihood ratio test
Keywords :
parameter estimation; signal detection; statistical analysis; UMP test; average likelihood ratio test; composite hypothesis test; generalised likelihood ratio test; optimum test; uniformly most powerful test; unknown distribution; unknown parameter; Density functional theory; Maximum likelihood detection; Maximum likelihood estimation; Noise level; Noise shaping; Page description languages; Performance evaluation; Shape; Signal detection; Testing;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395000
