A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

A robust procedure is developed for estimating density functions from data. It requires the existence of a parametric function, called the key function, to give a first approximation to the density ...

Minimum variance unbiased estimates of the inverse Gaussian distribution function for all possible cases are given. A direct relationship is established between its density function and the normal ...

Discover what a log-normal distribution is, its financial applications, and how to calculate it, including using Excel for ...

You can use the CDFPLOT statement to fit any of six theoretical distributions (beta, exponential, gamma, lognormal, normal, and Weibull) and superimpose them on the cdf plot. The following statements ...

SAS/INSIGHT software provides tests for the null hypothesis that the input data values are a random sample from a normal distribution. These test statistics include the Shapiro-Wilk statistic (W) and ...

You can use the RAND () function to establish probability and create a random variable with normal distribution.