Examples of using Probability distribution in English and their translations into Greek
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Colloquial
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Medicine
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Computer
Here Prθ, φ indicates the probability distribution of X characterised by(θ, φ).
In statistics, a type of probability distribution in which all outcomes are equally likely?
Estimated probability distribution": a mathematical function which assigns to an exhaustive set of mutually exclusive future events a probability of occurrence;
That the probability distribution describing the next outcome may grow increasingly similar to a certain distribution. .
Uniform distribution: A probability distribution in which every outcome is equally probable?
Then the probability distribution of X(k) is a Beta distribution with parameters k and n- k+ 1.
In statistics, uniform distribution is a type of probability distribution in which all outcomes are equally likely?
When assessing the probability distribution of a process one can record all process data
In statistics, a statistical hypothesis refers to a probability distribution that is assumed to govern the observed data.
In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment,
The standard deviation of a(univariate) probability distribution is the same as that of a random variable having that distribution. .
The variance is also equivalent to the second cumulant of a probability distribution that generates X{\displaystyle X}.
The word law is sometimes used as a synonym of probability distribution, and"convergence in law" means"convergence in distribution".
PageRank is a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page.
a data set, or a probability distribution is the square root of its variance.
The hypothesis space H is constrained by the usual constraints on a probability distribution,, and.
It is one of several descriptors of a probability distribution, describing how far the numbers lie from the mean(expected value).
Student's t-distribution is the maximum entropy probability distribution for a random variate X for which E( ln( ν+ X 2)){\displaystyle\operatorname{E}(\ln(\nu+X^{2}))} is fixed.
data set, or probability distribution is the square root of its variance.
Its basic idea lies on mapping the gray levels based on the probability distribution of the input gray levels.