BETA
IMPORTANT CONTINUOUS RANDOM VARIABLE
Probability Density Function (PDF)
For all other x, fx(x)=0 This has many different shapes based on the values of alpha & beta. Some examples are illustrated below
PROPERTIES
MEAN
VARIANCE
If then a Uniform Random Variable is obtained.
RELATED
CONCEPTSRandom Variables Probability Density Function Cumulative Distribution Function Important Continuous Random Variables Copyright © 1998 Rensselaer Polytechnic Institute. All Rights Reserved.