RiskBetaSubj
Description 
RiskBetaSubj(minimum, m.likely, mean, maximum) specifies a beta distribution with a minimum and maximum value as specified. The shape parameters are calculated from the m.likely value and mean parameters. The BetaSubjective distribution is like a BetaGeneral distribution in the sense that the range of the underlying Beta distribution has been scaled. However, its parameterization allows it to be used in cases where it is desirable to use not only a minimummost likelymaximum parameter set (as in the PERT distribution), but you want to use the mean of the distribution as one of the parameters.

Examples 
RiskBetaSubj(0,1,2,10) returns a beta distribution with a minimum of 0, a maximum of 10, a most likely value of 1, and a mean of 2. RiskBetaSubj(A1,A2,A3,A4) returns a beta distribution with its four parameters taken from cells A1, A2, A3, and A4.

Definitions 

Parameters 
min continuous boundary parameter min < max m.likely continuous parameter min < m.likely < max mean continuous parameter min < mean < max max continuous boundary parameter mean > mid if m.likely > mean

Domain 
continuous

Density and Cumulative Distribution Functions 
with Here, B is the Beta Function and B_{z} is the Incomplete Beta Function.

Mean 
mean

Variance 

Skewness 

Kurtosis 

Mode 
m.likely 
Examples 
