Title :
The strong converse theorem for hypothesis testing
Author :
Han, Te Sun ; Kobayashi, Kingo
Author_Institution :
Dept. of Inf. Syst., Senshu Univ., Kawasaki, Japan
fDate :
1/1/1989 12:00:00 AM
Abstract :
The authors present the answer to a so-called converse problem by giving the explicit form of the power exponent. This strong converse should be regarded as completing a weak converse previously obtained by R.E. Blahut (1974)
Keywords :
error statistics; information theory; probability; error probability; exponential-type constraint; hypothesis testing; information theory; strong converse theorem; Error analysis; Error probability; Information systems; Information theory; Power engineering and energy; Random variables; Statistical analysis; Sun; Tellurium; Testing;
Journal_Title :
Information Theory, IEEE Transactions on