Examples of using Random variables in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Both tests were used because the study entailed random variables from the same subjects that changed with time.
Not all random variables have a standard deviation,
These eigenvalues are random variables since the system dynamics is chaotic and the scattering matrix become a random matrix in the jacobi ensemble.
Not all random variables have a standard deviation,
Nodes in graphs correspond to Bayesian network random variables and may vary in nature.
Observe what the data for the doubly smoothed random variables with trends looks like.
The random variables considered in the study were:
Regarding to the sensitivity factors of the random variables, the same general behavior was observed when compared to prior calibration results,
Firstly, in estimating the probability density functions of random variables and secondly in estimating the spectral density function of a time series.
you have got a value that just depends on random variables[inaudible] in the last five
they are often written as propositional formulas involving random variables.
More precisely, suppose"X"1,"X"2,"X"3,… is an infinite exchangeable sequence of Bernoulli-distributed random variables.
they are often written as propositional formulas involving random variables.
the mutual information(MI) of two random variables is a measure of the mutual dependence between the two variables. .
identically distributed random variables tends toward the famous bell-shaped normal distribution with a probability density function of.
The most general notion which shares the main properties of IID variables are exchangeable random variables, introduced by Bruno de Finetti.
which enable modeling problems with random variables and find rational solutions.
In probability theory, a compound Poisson distribution is the probability distribution of the sum of a number of independent identically-distributed random variables, where the number of terms to be added is itself a Poisson-distributed variable. .
we studied the convergence to a non-extremal stable variable in relative fisher information for stabilized sums of i.i.d. random variables, under the hypothesis of convergence in distribution.
we propose two-stage stochastic programming with recourse models, where the random variables are represented by a?nite and discrete set of realizations or scenarios.