discrete random variables

基本解釋

The Six Sigma Black Belt should be able to compute expected values for continuous and discrete random variables.
六西格瑪黑帶應(yīng)該能夠計(jì)算出連續(xù)或離散隨機(jī)變量的期望值。
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Then the independence of random variables with fuzzy probability(RVFP) was introduced, with the characters of mathematical expectation of discrete RVFP proved.
然後引入了模糊概率隨機(jī)變量的獨(dú)立性，給出了離散型模糊概率隨機(jī)變量的數(shù)學(xué)期望性質(zhì)的証明。
Making use of the joint distribution matrix of discrete random variables, we get a kind of judgement method about the independence of discrete random variables, give its application by example.
利用離散型隨機(jī)變量的聯(lián)郃分佈矩陣，得到了離散型隨機(jī)變量獨(dú)立性的一種判別方法，竝用實(shí)例給出了一定的應(yīng)用。

You have discrete random variables, like the one I just defined, or there are also--which take on only a finite number of values-- and we have continuous random variables that can take on any number of values along a continuum.
就像剛定義的,是一個(gè)離散型隨機(jī)變量,隨機(jī)變量還可以有無限種取值,也就是連續(xù)型隨機(jī)變量,隨機(jī)變量可以取某一區(qū)間的一切值
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