更改

删除6字节 、 2020年10月18日 (日) 13:52
第126行: 第126行:  
所有长尾分布都是重尾分布,但反之不一定,事实是可以构造出非长尾分布的重尾分布。
 
所有长尾分布都是重尾分布,但反之不一定,事实是可以构造出非长尾分布的重尾分布。
   −
=== Subexponential distributions 长尾分布的定义 ===
+
=== Subexponential distributions 次指数分布 ===
    
Subexponentiality is defined in terms of [[Convolution of probability distributions|convolutions of probability distributions]]. For two independent, identically distributed [[random variables]] <math> X_1,X_2</math> with common distribution function <math>F</math> the convolution of <math>F</math> with itself, <math>F^{*2}</math> is convolution square, using [[Lebesgue–Stieltjes integration]], by:
 
Subexponentiality is defined in terms of [[Convolution of probability distributions|convolutions of probability distributions]]. For two independent, identically distributed [[random variables]] <math> X_1,X_2</math> with common distribution function <math>F</math> the convolution of <math>F</math> with itself, <math>F^{*2}</math> is convolution square, using [[Lebesgue–Stieltjes integration]], by:
961

个编辑