| probability density function |
In mathematics, a probability density function (pdf) serves to represent a probability distribution in terms of integrals. Any function that is everywhere non-negative and whose integral from −∞ to +∞ is equal to 1 is a probability density function. If a probability distribution has density f(x), then intuitively the infinitesimal interval [x, x + dx] has probability f(x) dx. ...
출처: en.wikipedia.org/wiki/Probability_density_function
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| probability density function |
(Or density function; also called frequency function.) The statistical function that shows how the density of possible observations in a population is distributed. It is the derivative f(x) of the distribution function F(x) of a random variable, if F(x) is differentiable. Geometrically, f(x) is the ordinate of a curve such that f(x)dx yields the probability that the random variable will assume some value within the range dx of x. ...
출처: amsglossary.allenpress.com/glossary/browse
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| probability density f. |
in statistics, a mathematical function that describes the distribution of measurements for a population; a curve that describes a population. Its integral is the cumulative distribution function, so the probability that an individual measurement will fall between two numbers a and b is equal to the proportion of the area under the curve between points a and b, with the entire area under the function being 1.
출처: www.mercksource.com/pp/us/cns/cns_health_library.j...
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| probability density function |
A relative frequency curve which shows the total area (100 percent) of all data points contained in the distribution.
출처: www.fta.dot.gov/library/planning/prob/glossary.htm...
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