【摘要】 设｛Ｓｎ，ｎ≥Ｏ｝是在Ｓ＝｛１，２，…，ｍ｝中取值的随机变量序列，ｉ，ｊ　Ｓ，Ｓｎ（ｉ，ｊ，ｗ）是序偶列｛Ｘ０，Ｘｉ｝，（Ｘ１，Ｘ２），…，（Ｘｎ－１，Ｘｎ）中序偶（ｉ，ｊ）出现的次数，本文利用似然比［１］这一概念，作为｛Ｘｎ，ｎ≥０｝与Ｍａｒｋｏｖ链偏差的一种度量，并通过限制似然比，给出样本空间的一个子集Ｄ（Ｃ），在此子集上得到一类与Ｍａｒｋｏｖ链有关的强偏差定理。更多还原

【Abstract】 Let { Xn, n0} be a sequence of random variables taking values in S{ 1, 2, m} i, j S, Sn(i, j; w) he the number of occurrence of ordered couple (i, j)of states in the sequence of ordered couples(X0,X1 ), (X1, X2), (Xn-1 , Xn). In this paper, the concept likelihood ratio is used as the measure of deviationbetween { Xn, n 1 } and Markow Chain, and a subset of D(C) of sampling space is given. A class of strongdeviation theorem relative to Markov Chain are obtained on the set.更多还原