Author:
Chen Yang,Tan Zhongquan,Wang Kaiyong
Abstract
Abstract
Let
(
X
n
)
be a sequence of i.i.d., positive, square integrable random variables with
E
(
X
1
)
=
μ
>
0
,
Var
(
X
1
)
=
σ
2
. Denote by
S
n
,
k
=
∑
i
=
1
n
X
i
−
X
k
and by
γ
=
σ
/
μ
the coefficient of variation. Our goal is to show the unbounded, measurable functions g, which satisfy the almost sure central limit theorem, i.e.,
lim
N
→
∞
1
log
N
∑
n
=
1
N
1
n
g
(
(
∏
k
=
1
n
S
n
,
k
(
n
−
1
)
n
μ
n
)
1
γ
n
)
=
∫
0
∞
g
(
x
)
d
F
(
x
)
a.s.
,
where
F
(
⋅
)
is the distribution function of the random variable
e
N
and "Equation missing" is a standard normal random variable.
MSC:60F15, 60F05.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献