论文标题
平均随机变量和字段
Averaging of random variables and fields
论文作者
论文摘要
我们将证明，通过平均随机变量（R.V.）和随机场（R.F.），其分布的尾巴与在非常弱的条件下的源变量（本质上或几乎是精确的尾巴）相比不会增加。
We will prove that by averaging of random variables (r.v.) and random fields (r.f.) its tails of distributions do not increase in comparison with the tails of source variables, essentially or almost exact, under very weak conditions.
