Examples of using Random variable in English and their translations into Chinese
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This way, if Y is a uniform random variable between 1 and 2.
X is the Random Variable"Number of passes from four inspections".
Use the PDF to identify regions of higher andlower probabilities for values of a random variable.
For a continuous random variable, we have the following equation:.
When to use it:Normality Tests are used to determine whether a random variable is normally distributed, or not.
A Random Variable with a Bernoulli Distribution is among the simplest ones.
If X{\displaystyle X} is a random variable with a normal distribution, and Y=| X|.
In a GP every point in some continuous inputspace is associated with a normally distributed random variable.
Where T is a random variable with the t distribution with df degrees of freedom.
The expected value of a geometrically distributed random variable X is 1/p and the variance is(1- p)/p2:.
For a random variable, it is important to summarize its amount of uncertainty.
An important example of a continuous Random variable is the Standard Normal variable, Z.
Given a random variable X, we would like to have a way of describing which values it takes.
On the real line it is given by the following formula,where X is any random variable with the distribution in question:.
A continuous random variable can take any value in a given(continuous) interval.
With a discrete probability distribution,each possible value of the discrete random variable can be associated with a nonzero probability.
So that's another random variable S. And then finally we have this case of the disappearing line.
N is a random variable whose distribution is a Poisson distribution with expected value λ, and.
The length of each piece is a random variable with probability proportional to the concentration parameter.
If a random variable X has an F-distribution with parameters d1 and d2, we write X~ F(d1, d2).
In such games, the terminal time is a random variable with a given probability distribution function.
If any random variable is constant, its correlation with all other variables is undefined, and the respective row and column value is NaN.
The expected value of a random variable X from a Bernoulli distribution is found as follows:.
A continuous random variable x is a random variable that can take on infinitely many values.
Data can be seen as a random variable X: Ω→ X{\displaystyle X:\Omega\rightarrow{\mathcal{X}}}.
If X is a random variable taking values in the domain of f, then(Here denotes the mathematical expectation.).
A test statistic is a random variable that is calculated from sample data and used in a hypothesis test.
It's evident that this random variable perfectly models the Dropout application on a single neuron.
For RReLU, aji is a random variable keeps sampling in a given range, and remains fixed in testing.
As a side note,the other kind of random variable is called a discrete random variable and can only take on specified values.