The phrase "a joint probability distribution" is correct and usable in written English.
It can be used in contexts related to statistics, probability theory, or data analysis when discussing the probability of two or more random variables occurring simultaneously.
Example: "In order to analyze the relationship between the two variables, we need to calculate a joint probability distribution."
Alternatives: "a combined probability distribution" or "a multivariate probability distribution".
That joint distribution is combined with the probability distribution of storm depth, to produce a joint probability distribution for storm depth, duration, and peak intensity.
We use a joint probability distribution P h, μ′) = p(h; μ′ q to describe both the distance traveled by the particle between two scattering processes and the change in the particle pitch-angle after a scattering process.
Which kind of blew my mind, but Qinghua Guo stepped in with some helpful words about the difficulties of sampling from a joint probability distribution in Monte Carlo simulations, etc. Plus we had some great times with Jacob, Leo, Yanjun and the Green Valley International crew who were showcasing their series of Lidar instruments and software.
By defining a joint probability distribution and return-period contours for multiple load components, the suggested procedure is applicable to different aspects of the design of wind turbine blades, including the possibility for carrying out reliability analysis on an entire cross section.
The design-based approach uses the probabilities with which units are selected for the sample for inference; in the model-based approach, the investigator hypothesizes a joint probability distribution for elements in the finite population, and uses that probability distribution for inference.
For given case, nature generates data as a random realization from a joint probability distribution for some collection of variables.
A bayesian network represents independencies over a set of variables in a given joint probability distribution (JPD).
Numerical simulations are carried out for an FPSO at three different locations considering a North Sea joint probability distribution for the environmental parameters.
However, the c′ and ϕ′ data obtained from field and/or laboratory tests for a project are usually limited and insufficient to provide a meaningful joint probability distribution of c′ and ϕ′ or quantify their cross-correlation.
Firstly, if the schema of random variables of the partial models is acyclic, a hypergraph approach from relational database theory is used to compute a join tree from which the partial models can be combined to form a single joint probability distribution.
A rigorous application of the reference ratio method would require the construction of a proper joint probability distribution over pairwise distances.
