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In probability theory, a probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function whose value at any given point in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a "relative probability" that the value of the random…
Formal definition, Function of random variables and change of variables in the probability density function & Further details
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probability density function random displaystyle distribution variable values variables continuous given frac set int used pdf hours dx possible one
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Probability density function | related to Absolutely continuous univariate distributions | Lebesgue-integrable | 0.60 | section |
| Probability density function | related to Absolutely continuous univariate distributions | Pr | 0.60 | section |
| Probability density function | related to Absolutely continuous univariate distributions | Hence | 0.60 | section |
| Probability density function | related to Corollary | If | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | For | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | X1 | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | Xn | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | This | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | Pr | 0.60 | section |
| Probability density function | related to Densities associated with multiple variables | If | 0.60 | section |
| Probability density function | related to Example | This | 0.60 | section |
| Probability density function | related to Example | Let | 0.60 | section |
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