Examples of 'probability distributions' in a sentence
Meaning of "probability distributions"
probability distributions: In statistics, the way values of a random variable are distributed over a range of possible outcomes. This phrase is used to describe the likelihood of different values occurring and the pattern or spread of these values within a given dataset or scenario
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- plural of probability distribution
How to use "probability distributions" in a sentence
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probability distributions
The following parameter probability distributions were used.
Probability distributions on locally compact abelian groups.
Let me call one of these probability distributions p.
Probability distributions were used in four ways.
These define two probability distributions and.
Probability distributions for continuous and discrete case.
Design parameter variations are modeled by probability distributions.
Universal probability distributions of turbulence in open channel flows.
It represents a dissimilarity between two probability distributions.
Identification of probability distributions required for network construction.
There are many different kinds of probability distributions.
Probability distributions are generally divided into two classes.
There are many different types of probability distributions.
Probability distributions are either discrete or continuous.
It has been applied to study probability distributions of fracture apertures.
See also
All probability distributions can be written in this form.
So there were three different probability distributions representing corn.
Probability distributions of the instantaneous ratios.
Nine functions for probability distributions.
The probability distributions are represented by the following formula.
There are many possible probability distributions.
Probability distributions on linear spaces.
Stability characterizations of some probability distributions.
When probability distributions are unknown.
The variability of execution times is described by probability distributions.
There is a bijection between probability distributions and characteristic functions.
Bayesian networks represent factorizations of joint probability distributions.
Another way is to study probability distributions on the persistence space.
The relative expressive power of different probability distributions.
A study of probability distributions and their application to statistical inference.
It measures the distance between two probability distributions.
See also probability distributions.
The normal distribution is a family of continuous probability distributions.
There are several important probability distributions used in quantitative finance.
Statistical tests are formulated on models that generate probability distributions.
Element repair probability distributions.
The neutron spectrum is decomposed as a sum of three probability distributions.
Different cumulative normal probability distributions with their parameters.
A statistical parameter is a parameter that indexes a family of probability distributions.
Apply continuous probability distributions.
Probability distributions of income.
Bayesian networks as joint probability distributions.
Actual probability distributions for symbol values in the states.
It contains an introduction to continuous probability distributions.
Bayes networks define probability distributions over graphs or random variables.
The characteristic function exists for all probability distributions.
List of probability distributions.
The failures of components are modeled with probability distributions.
Tutorial on discrete probability distributions with examples and detailed solutions.
Used to measure the divergence between two probability distributions.
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Examples of using Probability
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In all probability the destination does not exist
This plan has a high probability of going south
The probability of execution and settlement is certain
Examples of using Distributions
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Distributions and additional investments in the funds
Tax treatment of distributions from corporate class
Distributions received from the underlying funds
