机率质量函数或離散型机率分布

In probability theory, a probability mass function (abbreviated pmf) gives the probability that a discrete random variable is exactly equal to some value. A probability mass function differs from a probability density function in that the values of the latter, defined only for continuous random variables, are not probabilities; rather, its integral over a set of possible values of the random variable is a probability

多谢了

解释得这么详细

终于弄清楚这个问题了

Warning:

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[Colorfulman] answered correctly for "Probability mass function". That is not that answer to "Probability Mass"!

The Probability mass sometimes, no matter for discrete or continuous distribution, means the probability support interval/range where the majority of the probability lies.

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Sorry for [Colorfulman] . you just copied the text from Wikipedia, but it is somewhat misleading. Or maybe [daffodilpeace] can not really understand what s/he is asking for.

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[此贴子已经被作者于2005-11-26 23:11:43编辑过]

基本上, 个人认为如此…若前辈如此指正…也同意您的说法…

不过您的意思…只是更严谨

概率质量