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


Beta pdf pict Beta pdf pict
Beta pdf pict Beta pdf pict


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PROPERTIES

MEAN
VARIANCE


If then a Uniform Random Variable is obtained.




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RELATED
CONCEPTS

  Random Variables
Probability Density Function
Cumulative Distribution Function
Important Continuous Random Variables
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