DocumentCode
3025999
Title
Finite-memory hypothesis testing with semi-bounded likelihood ratio
Author
Koplowitz, Jack ; Kulkarni, Sanjeev R.
Author_Institution
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
161
Abstract
We consider hypothesis testing with a finite memory when the likelihood ratio is semi-bounded. It is shown that a 2-state memory can achieve correct convergence with probability one under one hypothesis but only in probability under the other hypothesis
Keywords
convergence of numerical methods; probability; random processes; sequences; 2-state memory; convergence; finite-memory hypothesis testing; independent identically distributed random variables; probability density function; semi-bounded likelihood ratio; sequence; Convergence; Probability; Statistical analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613076
Filename
613076
Link To Document