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actuar (version 0.9-4)

BetaMoments: Raw and Limited Moments of the Beta Distribution

Description

Raw moments and limited moments for the (central) Beta distribution with parameters shape1 and shape2.

Usage

mbeta(order, shape1, shape2)
levbeta(limit, shape1, shape2, order = 1)

Arguments

order
order of the moment.
limit
limit of the loss variable.
shape1, shape2
positive parameters of the Beta distribution.

Value

  • mbeta gives the $k$th raw moment and levbeta gives the $k$th moment of the limited loss variable.

    Invalid arguments will result in return value NaN, with a warning.

Details

The $k$th raw moment of the random variable $X$ is $E[X^k]$ and the $k$th limited moment at some limit $d$ is $E[\min(X, d)^k]$.

The noncentral Beta distribution is not supported.

References

Klugman, S. A., Panjer, H. H. and Willmot, G. E. (2004), Loss Models, From Data to Decisions, Second Edition, Wiley.

See Also

Beta for details on the Beta distribution and functions {d,p,q,r}beta.

Examples

Run this code
mbeta(2, 3, 4) - mbeta(1, 3, 4)^2
levbeta(10, 3, 4, order = 2)

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