Distribution Fitting Software & Articles

# Distribution Graphs

## Probability Density Function (PDF)

## Cumulative Distribution Function (CDF)

## Survival Function

## Hazard Function

For a continuous function, the probability density function (PDF) is the probability that the variate has the value x. Since for continuous distributions the probability at a single point is zero, this is often expressed in terms of an integral between two points.

The cumulative distribution function (CDF) is the probability that the variate takes on a value less than or equal to x:

For a continuous distribution, this can be expressed as

The survival function (or reliability function) is the probability that the variate takes on a value greater than x. This function is often used in reliability and related fields to denote the probability a unit survives beyond time t.

The hazard function (also known as the failure rate, or hazard rate) is the ratio of the probability density function to the survival function:

The hazard function is used in reliability applications to describe the instantaneous failure rate at any point in time.

If the hazard function is constant, then the failures occur with equal frequency during any equal period of time. The exponential failure distribution has a constant hazard rate. For other distributions, the hazard function is not constant, so the failure rate varies with time.

**See also:** EasyFit Help on distribution graphs