Examples of 'random variables' in a sentence
Meaning of "random variables"
random variables - In probability theory and statistics, random variables are mathematical quantities that take on different values as a result of a random process or experiment. They represent the uncertainty or unpredictability inherent in such processes
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- plural of random variable
How to use "random variables" in a sentence
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random variables
Note that random variables themselves are functions.
Expected value of a function of two random variables.
Such random variables are called pivotal quantities.
So suppose we have two random variables x and y.
Then the random variables are asymptotically free.
Examples of discrete and continuous random variables.
And all of these random variables are independent.
Random variables are just like any other.
Simple transformation of random variables shows that.
If the random variables are of the continuous type.
Let us say we have two random variables.
Random variables whose covariance is zero are called uncorrelated.
Where are independent random variables with distribution.
In this section we treat independence of random variables.
On random variables with comparable peakedness.
See also
Independent and identically distributed random variables.
Random variables and their properties.
Now let us define two random variables.
The continuous random variables will be discretized in practice.
Independently and identically distributed random variables.
We forget the random variables that impacted us positively.
We call this a group family of random variables.
Random variables are by definition measurable functions defined on probability spaces.
Expectation of the product of independent random variables.
We also suppose that all random variables are mutually independent.
Probability theory is about families of random variables.
Pairwise independent random variables with finite variance are uncorrelated.
Minimum and maximum of independent random variables.
Discrete and continuous random variables and basic distributions.
Density function and distribution function of random variables.
We are not talking about random variables that are polite.
A composite is typically a linear combination of observable random variables.
The joint entropy of a set of random variables is a nonnegative number.
We can think of each period sales as being random variables.
Metric distances in spaces of random variables and their distributions.
Mathematical expectation and variance of discrete random variables.
I have some random variables.
Independent and identially distributed positive random variables.
Random variables and we associate processes of normalized partial sums.
There is two types of random variables.
The chosen random variables can be either independent or correlated.
We already know a little bit about random variables.
Then these random variables are mutually independent if and only if.
Limit theorems for sums of exchangeable random variables.
Distributions of the individual random variables are called marginal distributions.
Distributions and transformations of random variables.
The random variables are independent.
Parameters can be represented as random variables.
The covariance of two random variables is a measure of their relatedness.
These features are considered as random variables.
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Examples of using Random
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Banditry and random violence are on the increase
They just pick up any dish at random
Random physical inventories are performed on a monthly basis
Examples of using Variables
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Variables are introduced in order to track such bequests
The plan of the variables is the following
Variables to be probed as part of the study include
