Are the Distribution Parameters Consistent with the Exponential Distribution

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Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfexp, pdfexp, quaexp, and lmomexp) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parexp.valid function.

Usage

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are.parexp.valid(para, nowarn=FALSE)

Arguments

para

A distribution parameter list returned by parexp.

nowarn

A logical switch on warning suppression. If TRUE then options(warn=-1) is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value—say in an optimization algorithm.

Value

TRUE

If the parameters are exp consistent.

FALSE

If the parameters are not exp consistent.

Note

This function calls is.exp to verify consistency between the distribution parameter object and the intent of the user.

Author(s)

W.H. Asquith

References

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

See Also

is.exp, parexp

Examples

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para <- parexp(lmoms(c(123,34,4,654,37,78)))
if(are.parexp.valid(para)) Q <- quaexp(0.5,para)

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