RUS
ENG
Full version
JOURNALS
// Teoriya Veroyatnostei i ee Primeneniya
// Archive
Teor. Veroyatnost. i Primenen.,
1998
Volume 43,
Issue 3,
Pages
476–489
(Mi tvp1555)
Asymptotic normality of the log-likelihood ratio for a class of
$m$
-dependent random variables
S. V. Pazizin
a
,
B. V. Ryazanov
b
a
Academy of Federal Security Service of Russian Federation
b
Financial company "INTRUST", Moscow
Abstract:
Asymptotic normality of the log-likelihood ratio (LLR) is established in the problem of testing two simple hypotheses about the distribution of a sequence of m-dependent random variables by the “responses” on the elements of the sequence.
Keywords:
$m$
-dependence, likelihood ratio, asymptotic normality.
Received:
18.05.1995
Revised:
12.03.1997
DOI:
10.4213/tvp1555
Fulltext:
PDF file (596 kB)
English version:
Theory of Probability and its Applications, 1999,
43
:3,
422–433
Bibliographic databases:
©
Steklov Math. Inst. of RAS
, 2025