probability distribution

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Probability distribution

A function that describes all the values a random variable can take and the probability associated with each. Also called a probability function.

Probability Distribution

All the possible values a random variable can take under a given set of circumstances, as well as the probability that it will take each value. A normal probability is a bell curve.

probability distribution

The distribution of possible outcomes to an event along with the probability of each potential outcome. This statistical tool is used to measure the risk associated with events such as shooting craps, playing cards, or investing in securities.
References in periodicals archive ?
For example, a company might have a probability distribution for the change in sales given a particular marketing campaign.
These plots show voltage magnitude probability and cumulative probability distributions in which the magnitude probabilities over the phase range have been summed together at a given frequency.
The goal of this study was to assess the influence of different probability distributions and their combinations to the accuracy of classifiers constructed on their basis both for separate classification of single images and using data fusion.
Population L-Moments and Trimmed L-Moments: Population L-moments measured location, dispersion, skewness, kurtosis, and other aspects of the shape of probability distributions and sample data, using linear combinations of the ordered data values.
Assigning probability distributions to the input variables
A joint probability distribution is the probability distribution of a multidimensional vector--each dimension representing a separate variable within a study.
In 12 of 13 cases, there was no overlap between probability distributions (B = 0), providing unequivocal cis/ trans calls, although each sample had accumulated a low percentage of chimeric read-pairs through recombination during long-range PCR amplification.
Monte Carlo simulation involves assigning probability distributions to one or more key variables in an analysis.
Mathematically, a BNs represents a joint probability distribution P over a set of random variables X = {[X.
One important property of BNs is their ability to represent the joint probability distribution P([A.
This requires collecting manufacturing data, studying the data and, finally, allocating proper probability distributions to each item based on the studied data.
Let n > 0 be a positive integer, and let F be a class of probability distributions on [R.

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