BETA
IMPORTANT CONTINUOUS RANDOM VARIABLE
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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
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PROPERTIES
MEAN
VARIANCE
If then a Uniform Random Variable is obtained.
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RELATED
CONCEPTSRandom Variables Probability Density Function Cumulative Distribution Function Important Continuous Random Variables ![]()
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