Examples of using Random variables in English and their translations into Portuguese
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Computer
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U(0,1) random variables.
The binomial and the Poisson random variables.
Note that random variables themselves are functions.
There's two types of random variables.
Discrete random variables and continuous random variables.
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What's so useful about defining random variables like this?
Random variables whose covariance is zero are called uncorrelated.
More than two random variables edit.
Statistical hypotheses concern the behavior of observable random variables.
You can have discrete random variables, or continuous.
Tables 6 and 7 also show sensitivity coefficients of the problems random variables.
Where X is the vector of random variables, gx is the limit state equation Eq.
These are process where the cumulative value of something depends on a sequence of random variables.
With the discrete random variables, it just took on a finite number of values.
This is why the concept of sure convergence of random variables is very rarely used.
Table 3 presents the random variables considered and the statistical properties.
Here Fn andF are the cumulative distribution functions of random variables Xn and X, respectively.
Table 2 presents the random variables considered in this analysis and the statistical properties.
The covariance is sometimes called a measure of"linear dependence" between the two random variables.
Something, discrete and continuous random variables, and simple linear regression.
Not all random variables have a standard deviation, since these expected values need not exist.
Three probability density functions(PDF) of random variables with log-normal distributions.
Not all random variables have a standard deviation, since these expected values need not exist.
Nodes in graphs correspond to Bayesian network random variables and may vary in nature.
In this thesis we have studied the behavior of the distribution of the sum of not necessarily independent random variables.
Where EM, fc, D,L e W are the random variables of the problem, described in Table 5.
So you can perform this experiment a bunch of times, but this tells you the frequency,the frequency of that random variables.
Both tests were used because the study entailed random variables from the same subjects that changed with time.
The sample mean or empirical mean andthe sample covariance are statistics computed from a collection(the sample) of data on one or more random variables.
Statistics- A basic knowledge of statistics,including random variables, probability distributions, confidence intervals, and hypothesis testing.