mbeta: Mean and Variance of the Beta Distribution
In AndriSignorell/DescTools: Tools for Descriptive Statistics
mbeta R Documentation
Mean and Variance of the Beta Distribution
Description
Formula:
\mu = \frac{\alpha}{\alpha + \beta}
\mathrm{Var}(X) = \frac{\alpha \cdot \beta}{(\alpha + \beta)^2 (\alpha + \beta + 1)}
Usage
mbeta(shape1, shape2)
Arguments
shape1
Alpha parameter
shape2
Beta parameter
Value
List with mean and variance
References
Johnson, N.L., Kotz, S., and Balakrishnan, N. (1995). Continuous Univariate Distributions, Vol. 2. Wiley.
See Also
dbeta
Examples
mbeta(shape1 = 2, shape2 = 3)
AndriSignorell/DescTools documentation built on June 11, 2025, 10:41 p.m.
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| mbeta | R Documentation |
Mean and Variance of the Beta Distribution
Description
Formula:
\mu = \frac{\alpha}{\alpha + \beta}
\mathrm{Var}(X) = \frac{\alpha \cdot \beta}{(\alpha + \beta)^2 (\alpha + \beta + 1)}
Usage
mbeta(shape1, shape2)
Arguments
shape1 |
Alpha parameter |
shape2 |
Beta parameter |
Value
List with mean and variance
References
Johnson, N.L., Kotz, S., and Balakrishnan, N. (1995). Continuous Univariate Distributions, Vol. 2. Wiley.
See Also
dbeta
Examples
mbeta(shape1 = 2, shape2 = 3)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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