distribution function
cumulative distribution function

Let be the empirical distribution function based on the sample.

The distribution function is a property of the experimental pattern.

This follows from the form of the cumulative distribution function given above.

It also determines the probability distribution function of the energy.

This article describes the distribution function as used in physics.

However, in general the cumulative distribution function does not have a closed form solution.

"The state of having identical cumulative distribution function or values".

The distribution function is constant along any trajectory in phase space.

The Group also provides other collective buying, marketing and distribution functions.

The significance of difference between means without reference to the frequency distribution function.

The distribution function depends on the three-dimensional position, the energy and magnetic moment.

It can also be used to refer to the empirical cumulative distribution function.

There are several different definitions for the Wigner distribution function.

The distribution function does not bring any knowledge nor information about "what happens inside the experimental device".

However, the marginal distribution functions are usually not known.

A distribution function may be specialised with respect to a particular set of dimensions.

A statistical model is a probability distribution function proposed as generating data.

Here, is the cumulative distribution function of the student distribution.

The Wigner distribution function can also be used to analyze music signal.

The advantage of Wigner distribution function is the high clarity.

The normal distribution function is widely used in scientific and statistical computing.

A third form of the density is obtained using its cumulative distribution functions, as follows.

The distance distribution function is related to the frequency of certain distances within the particle.

The distribution function in this case is given by:

In such games, the terminal time is a random variable with a given probability distribution function.