Examples of using Random variable in English and their translations into Chinese
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                        Programming
                    
The length of each piece is a random variable with probability proportional to the concentration parameter.
If we had N samples from the random variable, we could use the following equation to find the sample variance.
There is another way to approximate the maximum expected action value for any random variable set.
(A very special case of this is when X{\displaystyle X} and Y{\displaystyle Y} are the same random variable.).
Each element of θ is an independent random variable from the beta distribution.
Is a K-valued random variable(i.e. measurable function) in the usual sense, with respect to Σ and the usual Borel σ-algebra on K.
If Tails= 1, TDIST is calculated as TDIST= P( X>x), where X is a random variable that follows the t-distribution.
Distributions are like blue print for building a house, and random variable is summary of what happen in an experiment.
If X~ B(n, p)(that is, X is a binomially distributed random variable), then the expected value of X is.
So here, the random variable is going to be G. Now the grade of the student obviously depends on how difficult the course that he or she is taking and the intelligence of the student.
I(x) is a random variable inasmuch as f(x) is a random variable, but the posterior of f(x) is known analytically from the GP model.
It is easy to see by symmetry that for a random variable X having this distribution, its expected value E(X)= 1/2, and that all odd central moments of X are 0.
The Kolmogorov distribution is the distribution of the random variable K= sup t∈| B( t)|{\displaystyle K=\sup_{t\in}|B(t)|} where B(t) is the Brownian bridge.
The generalization of exchangeable random variables is often sufficient and more easily met.
Many real-world random variables are distributed normally.
If random variables are independent then.
(If the random variables are independent).
Random variables and their distribution 3.
We have Bernoulli random variables.
Uncorrelated random variables are not necessarily independent.