expValDb: Expected value of a db distribution.

In dbd: Discretised Beta Distribution

Description

Calculate the expected value (theoretical mean) of a random variable having a db distribution.

Usage

expValDb(ao,...)
## S3 method for class 'mleDb'
expValDb(ao,...)
## Default S3 method:
expValDb(ao, beta, ntop, zeta=FALSE,...)

Arguments

ao	For the "mleDb" method this argument is an object of class "mleDb" as returned by mleDb(). For the default method it is a numeric scalar playing the role of alpha (see ddb()).
beta	See ddb().
ntop	See ddb().
zeta	See ddb().
...	Not used.

Details

For the "mleDb" method, the single argument should really be called (something like) “object” and for the default method the first argument should be called alpha. However the argument lists must satisfy the restrictions that “A method must have all the arguments of the generic, including ... if the generic does.” and “A method must have arguments in exactly the same order as the generic.”

For the "mleDb" method, the values of alpha, beta, ntop and zeta (passed to ddb()) are extracted from the attributes of ao.

The expected value of a db distribution is theoretically intractable but is readily calculable numerically as

sum(x * Pr(X=x))

.

Value

Numeric scalar equal to the expected value of a db distributed random variable with the given parameters.

Author(s)

Rolf Turner [e-mail]

See Also

ddb() varDb()

Examples

   expValDb(3,4,15)
   X   <- hmm.discnp::Downloads
   fit <- mleDb(X,ntop=15,zeta=TRUE)
   expValDb(fit)

dbd documentation built on Aug. 19, 2021, 5:07 p.m.