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2.3 随机变量的函数
2025-11-26
Probability Theory
/
math
/
probability theory
/
notes
2.3 随机变量的函数
#
随机变量函数的定义
#
设
Y
=
g
(
X
)
Y = g(X)
Y
=
g
(
X
)
,其中
g
g
g
是实值函数
Y
Y
Y
也是一个随机变量
函数分布列的计算
#
一般公式
:
p
Y
(
y
)
=
∑
{
x
∣
g
(
x
)
=
y
}
p
X
(
x
)
p_Y(y) = \sum_{\{x|g(x)=y\}} p_X(x)
p
Y
(
y
)
=
∑
{
x
∣
g
(
x
)
=
y
}
p
X
(
x
)
特殊情况
:
Y
=
∣
X
∣
Y = |X|
Y
=
∣
X
∣
,
Z
=
X
2
Z = X^2
Z
=
X
2
等
期望规则
#
基本公式
:
E
[
g
(
X
)
]
=
∑
x
g
(
x
)
p
X
(
x
)
E[g(X)] = \sum\limits_{x} g(x)p_X(x)
E
[
g
(
X
)]
=
x
∑
g
(
x
)
p
X
(
x
)
验证
:通过
Y
=
g
(
X
)
Y = g(X)
Y
=
g
(
X
)
的分布列定义推导得出
2.3 随机变量的函数
https://miku.nikonikoni.blog/posts/propability_theory/2-3-function-of-random-variable/
Author
nikonikoni
Published at
2025-11-26
License
Unlicensed
Some information may be outdated
2.2 分布列
2.4 期望、均值和方差
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