joint probability

Also found in: Dictionary, Thesaurus, Encyclopedia, Wikipedia.
Related to joint probability: conditional probability

joint prob·a·bil·i·ty

the probability that two or more outcomes are realized jointly.
References in periodicals archive ?
K - L distance reflects the difference of two joint probability distributions, defined as:
Fortunately, by making certain assumptions on feature probability distributions, the estimation of joint probability in a high dimensional feature space can be solved efficiently.
Calculate the expected number of Euros needed in 2008 to support the number of International trips selected from the July 2007 catalog based on the joint probability table above (The average cost per international trip s 1800 Euros).
An examination of the empirical curves in Figure 2 indicates that the joint probability forecast is generally well calibrated.
It will be shown below that the signs and the firm's equilibrium under uncertainty depend on: (i) the relationship between the output and factor markets as determined by the properties of the joint probability distribution function of prices and (ii) the firm's attitude toward risk.
The OC curves are based on the estimated joint probability of the following two independent events that determine whether a patient will be incorrectly classified: (a) the laboratory obtains a measured value within the range for high risk when the true homeostatic set point is in the range for desirable risk, or the laboratory obtains a measured value within the range for desirable risk when the true homeostatic set point is in the range for high risk; and (b) the QC samples) measured during the analytical run in which the patient specimen is analyzed are within acceptable limits.
The joint probability element of the triplet (r, [alpha], t) is
The second part of the text is for the more mathematically inclined and discusses properties of the expected value, continuous distributions, probability distributions of a single random variable, joint probability distributions for dependent random variables, the multivariate normal distribution, conditional distributions, and moment-generating functions.
First, joint probability tables between the attribute classes to predict and the various classes in each evidence map are used to denote the strength of the relationship.
Thus, the OPSpecs charts relate to the conditional probability that a measured patient result will exceed a specified limit, not to the joint probability of patient misclassification.
It is also assumed that whenever the prior probability distribution of expected losses of a risk is lognormal with median m, and an estimate is made of the expected losses, the joint probability distribution of the logarithms of the ratios (expected losses)/(estimate) and (expected losses)/m is bivariate normal.
Among the topics are discrete random variables and probability distributions, joint probability distributions and random samples, tests of hypotheses based on a single sample, simple linear regression and correlation, and distribution-free procedures.

Full browser ?