摘要
概率論是從隨機變量的分佈出發研究隨機現象的統計規律的，因此關於隨機變量的分佈是概率論中的核心內容，而隨機變量函數的分佈又是這1核心內容的'拓展與深化．對於隨機變量函數的分佈，本文論述了它的重要作用，提煉了它的知識結構，系統地論述了隨機變量的各種變換．在此基礎上，討論了各分佈之間的變換關係及性質，並給出了若干應用．這對於概率論知識結構的掌握和應用具有1定的參考價值．
關鍵詞：隨機變量函數；分佈函數；分佈密度；卷積公式．
By Random Variable Function Distribution
ABSTRACT
Probability theory starting from the distribution of random variables in the statistical study of random phenomena, and therefore on ution of random variables probability theory is the core content and function of the distribution of random variables is the core content to expand and deepen. Regarding the random variable function distribution, this article elaborated its vital role, has refined its knowledge structure, systematically elaborated random variable each kind of transformation. in this foundation, discussed between each distribution transformation relations and the nature, and produced certain application. this to have the certain reference value regarding theory of probability knowledge structure grasping with the application.
Key word: Random variable function；distribution function；density of distribution；Convolution formula
目錄
中文題目
中文摘要和關鍵詞
英文題目
英文摘要和關鍵詞
前言
正文
有關隨機變量函數的分佈的知識結構圖
隨機變量的常用變換
應用舉例
小結
致謝