| probability distribution |
A probability distribution Pr{} on a sample space S is a mapping from events of S to real numbers such that the following probability axioms are satisfied: Pr ≥ 0 for any event A. Pr = 1. Pr{A ∪ B} = Pr + Pr for any two mutually exclusive events A and B. (See page 1101)
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| probability distribution |
The mathematical description of a random variable in terms of its admissible values and the probability associated, in an appropriate sense, with each value. The probability distribution of a continuous variate is defined by stating the mathematical equation of the distribution function F(x) or the probability density function f(x) (if it exists) together with the range over which the equation holds. ...
출처: amsglossary.allenpress.com/glossary/browse
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| probability distribution |
A specification of the probabilities for each possible value of a random variable.
출처: www-personal.umich.edu/~alandear/glossary/p.html
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| probability distribution |
A distribution of a variable that expresses the probability that particular attributes or ranges of attributes will be, or have been observed.
출처: www.ojp.usdoj.gov/BJA/evaluation/glossary/glossary...
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| probability distribution |
The function that gives the probabilities that a variable equals each of a sequence of possible values. Examples include the binomial, chi square, normal and Poisson distributions.
출처: www.sahealthinfo.org/evidence/p.htm
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