Rocscience International Conference 2025 is going to take place in Sydney, Australia Read more

Search Results

Beta Distribution

The Beta distribution is a very versatile function which can be used to model probability density curves of several different shapes, such as those shown below.

density functions diagrams
Beta (a1, a2) Density Functions (Law and Kelton, 1991)

The form of the Beta distribution is determined by the shape parameters a1 and a2. Both a1 and a2 are always positive (greater than 0). The relationship between the shape parameters of the Beta distribution and the RocSlope3 input data is as follows:

mean equation

variance equation

The standard deviation is the positive square root of the variance.

The above equations apply to a beta random variable on [0,1]. To rescale and relocate to obtain a beta random variable on [a, b] of the same shape, use the transformation a + (b–a)X.
Rocscience logo, click here to return to the homepage Portal Account Portal Account Log In Log Out Home Shopping Cart icon Click here to search our site Click here to close Learning Tech Support Documentation Info Chevron Delete Back to Top View More" Previous Next PDF File Calendar Location Language External Link Apply to ACC External Link Fees Video Click here to visit Rocscience's LinkedIn page Click here to visit Rocscience's YouTube page Click here to visit Rocscience's X page Click here to visit Rocscience's Facebook page Click here to visit Rocscience's Instagram page Click here to visit Rocscience's Reddit page Bookmark Network Scroll down for more Checkmark Download Print Back to top Single User Multiple Users RSLog RocFall3 CPillar Dips EX3 RocFall RocPlane RocSlope3 RocSupport RocTopple RS2 RS3 RSData RSPile RSWall Settle3 Slide2 Slide3 SWedge UnWedge RocTunnel3 RocSlope2 BlastMetrix ShapeMetriX Fragmenter TestLicense Commercial License Education License Trial License Shop safe & secure Money-back guarantee