Examples of using Random variables in English and their translations into Bulgarian
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Computer
What I want to do in this video is build up some tools in our tool kit for dealing with sums and differences of random variables.
So we just showed you is that the variance of the difference of two independent random variables is equal to the sum of the variances.
The results of his studies were written up in his Cambridge publication Random variables and probability distributions which appeared in 1937.
directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph DAG.
contains the'three series' theorem as well as results on inequalities of partial sums of random variables which would become the basis for martingale inequalities
The central objects of probability theory are random variables, stochastic processes,
Now what I need to show you is that the variance of negative y, of the negative of that random variables are going to be the same thing as the variance of y.
Levy's Theory of Sum of Independent Random Variables.
his beautiful theorem that if the sum of two independent random variables is normal then all are normal.
the variance of that random variable is actually the sum of the variances of the two random variables.
Will show up in our random variable 0.01563% of the time.
The probability distribution of the random variable X is called a binomial distribution.
Let's define a random variable, X, like we always do.
And the random variable, X, is the number of shots I make.
Random variable y.
The mean and standard deviation of a random variable x are -9
Only true for random variable, X, whose probability distribution is the binomial distribution.
So let's say I have a random variable, X.
First of all, we know what the expected value of this random variable is.
So that's our random variable.