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probability mass function

Vertaling van "probability mass function" in Chinees

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概率密度函数
概率质量函数
! x, alpha, beta, cumulative!! This function is available for compatibility with Excel 2007 and earlier. Returns the Weibull distribution! is the value at which to evaluate the function, a nonnegative number! is a parameter to the distribution, a positive number! is a parameter to the distribution, a positive number! is a logical value: for the cumulative distribution function, use TRUE; for the probability mass function, use FALSE!
!x,alpha,beta,cumulative!!此函数与 Excel 2007 和早期版本兼容。 返回 Weibull 分布(概率密度)!用来计算分布的数值,非负!是分布的参数值,为正!是分布的参数值,为正!逻辑值,决定函数的形式。累积分布函数,使用 TRUE;概率密度函数,使用 FALSE!
! x, mean, cumulative!! This function is available for compatibility with Excel 2007 and earlier. Returns the Poisson distribution! is the number of events! is the expected numeric value, a positive number! is a logical value: for the cumulative Poisson probability, use TRUE; for the Poisson probability mass function, use FALSE!
!x,mean,cumulative!!此函数与 Excel 2007 和早期版本兼容。 返回泊松(POISSON)分布!是事件出现的次数!是期望值(正数)!是逻辑值,指定概率分布的返回形式,累积泊松概率,使用 TRUE;泊松概率密度函数,使用 FALSE!
POISSON returns the Poisson probability mass function that the number of events occurring will be exactly x
POISSON 返回事件发生次数为 x 的泊松(Poisson)概率密度函数
The joint probability mass function of two discrete random variables X, Y {\displaystyle X, Y} is
一般地,两个离散随机变量 X 和 Y 的互信息可以定义为:
To understand the above definition of the probability mass function, note that the probability for every specific sequence of k successes and r failures is (1 - p)rpk, because the outcomes of the k + r trials are supposed to happen independently.
在负二项分布的概率质量函数中,由于k+r次伯努利试验为独立同分布,每个失败r次、成功k次的事件的概率为(1 - p)rpk。
This distribution has neither a probability density function nor a probability mass function, since although its cumulative distribution function is a continuous function, the distribution is not absolutely continuous with respect to Lebesgue measure, nor does it have any point-masses.
该分布即没有概率密度函数,也没有概率质量函数,因为虽然其累积分布函数是一个连续函数,但其分布在勒贝格测度意义下既不是绝对连续的,也没有任何点质量。
This is the probability mass function of the Poisson distribution with expected value λ.
這就是假定期望值為 λ的泊松分佈之機率質量函數。
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Synoniemen voor probability mass function in het Engels

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