Sentence examples for continuous probability from inspiring English sources

There are many other discrete and continuous probability distributions.

The most widely used continuous probability distribution in statistics is the normal probability distribution.

This concept is then extended to continuous probability distributions.

The approach consists of using kernel smoothing to approximate unknown true continuous probability density/distribution functions.

We start with a continuous probability distribution ℙ on the real line.

The kernel function (K cdot)) is a continuous probability density function compactly supported on ([-1,1]).

All these algorithms predict the discrete and continuous probability distributions of facies.

In spite of this, we will use the continuous probability density (2).

These series can no longer be dealt with using the approximative methods that are appropriate for continuous probability distributions.

With standard RDU preferences, this implies a discrete probability on the ticket price, and a continuous probability on prizes afterwards.

Definition 5.1 Let ξ I ∈ I be a continuous random variable with continuous probability density function p I : I → ( 0, ∞ ).