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- Do The Function of A Continuous Type of Random Variable Also Belong To One? 連續型隨機變量的函數還是連續型隨機變量嗎?
- Kurtosis is a classical measure of non-Gaussianity of random variable. 峭度是隨機變量非高斯性的一個(gè)經(jīng)典度量。
- Cumulate probability distribution of trials of random variable of bathtub (or M) distribution. 隨機變數多次試驗結果之累積機率為兩極化分布。
- mode of random variables 隨機變量的眾數
- Cumulate probability distribution of trials of random variable of uniform distribution. 隨機變數多次試驗結果之累積機率為均勻分布。
- Cumulate probability distribution of trials of random variable of normal distribution. 隨機變數多次試驗結果之累積機率為常態(tài)分布。
- Four Modes of Convergence of a Sequence of Random Variables and Relationships among Them 隨機變量序列四種收斂形式及其關(guān)系
- My letter will convey some idea of my mode of life. 我的信將使你了解到一些我的生活方式。
- In this paper, we study the convergences of random Dirichlet series by the local convergence of random variable and the strong law of large numbers, and obtain some simple and explict formulae on abscissa of convergence. 該文是利用隨機變量序列的局部收斂性及強大數定律研究了隨機狄里克萊級數的收斂性，得出了它的收斂橫坐標的簡(jiǎn)潔公式.
- Abstract: In this paper, we study the convergences of random Dirichlet series by the local convergence of random variable and the strong law of large numbers, and obtain some simple and explict formulae on abscissa of convergence. 文摘:該文是利用隨機變量序列的局部收斂性及強大數定律研究了隨機狄里克萊級數的收斂性，得出了它的收斂橫坐標的簡(jiǎn)潔公式.
- A time series data set is a sequence of random variables indexed by time. 時(shí)間序列數據是以時(shí)間為指標的一個(gè)隨機變量序列。
- He changed his whole mode of life. 他改變了整個(gè)生活方式。
- The expected value of a random variable. 期望值隨意可。
- The level of formality determine the precise mode of expression. 不同的禮節程度決定所需的確切表達方式。
- She is not used to the formal mode of address. 她不習慣于這種正式稱(chēng)呼。
- A characteristic way or mode of expression. 用語(yǔ)，說(shuō)法具有特點(diǎn)的方法或方式的表達
- Research of Information Measure of Random Variable 隨機變量信息度量研究
- Functional distribution problem of random variable 隨機變量函數的分布問(wèn)題
- The means or mode of acting; instrumentality. 手段行動(dòng)的方法或方式; 媒介
- Through almost sure convergence of random variables, the probability convergence can be derived; and further the weak convergence can be derived. 摘要由隨機變量序列幾乎處處收斂可推出其依概率收斂，進(jìn)而可推出其依分布收斂，可見(jiàn)判別幾乎處處收斂的重要性。
