A fundamental theorem of probability theory. Let X1 , ..., Xn be random variables defined on a probability space (Ω, F , P ). When holds for any Borel set A1, ..., An, X1 , ... , Xn are said to be a system of independent random variables. This condition is equivalent to holds for any ai < bi ( i = 1 , ..., n ). Due to the multiplicative nature of probability, the following multiplication theorem for the mean value holds. TheoremLet X1 , ..., Xn be a system of independent random variables. When the mean value E | Xi | ( i = 1, ..., n ) is finite, the mean value is also finite, and so on. Source: Heibonsha World Encyclopedia, 2nd Edition Information |
確率論の基本的な定理。X1,……,Xnを確率空間(Ω,F,P)上で定義された確率変数とする。が,任意のボレル集合A1,……,Anに対して成り立つとき,X1,……,Xnは独立な確率変数系といわれる。この条件はが任意のai<bi(i=1,……,n)に対して成り立つことと同値である。確率の乗法性により,次の平均値に対する乗法定理が成り立つ。 定理 X1,……,Xnを独立確率変数系とする。平均値E|Xi|(i=1,……,n)が有限のときの平均値も有限で,となる。
出典 株式会社平凡社世界大百科事典 第2版について 情報 |
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