continuous random variableの例文

例文

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1. The smoothness of the kernel density estimate is evident compared to the discreteness of the histogram, as kernel density estimates converge faster to the true underlying density for continuous random variables.
2. If you know the pdfs of two continuous random variables, what is the pdf of the sum of those two variables ?-- talk ) 03 : 31, 21 May 2010 ( UTC)
3. To understand the problem we need to recognize that a distribution on a continuous random variable is described by a density " f " only with respect to some measure " ? ".
4. The concept of the conditional distribution of a continuous random variable is not as intuitive as it might seem : Borel's paradox shows that conditional probability density functions need not be invariant under coordinate transformations.
5. In general though, the PMF is used in the context of discrete random variables ( random variables that take values on a discrete set ), while PDF is used in the context of continuous random variables.