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
fDate :
29 Jun-4 Jul 1997
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;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613076