objective: The objective function for fitting the Davies distribution
In Davies: The Davies Quantile Function

Description Usage Arguments Details Value Author(s) See Also Examples

The “distance” of a dataset from a particular Davies distribution

1 2	objective(params, dataset) objective.approx(params, dataset)

`params`	A three-member vector holding C, lambda1 and lambda2
`dataset`	The dataset to be considered

Used by the fit.davies.p() and fit.davies.q() functions

objective returns the “distance” of a dataset from a particular Davies distribution as measured by the sums of the squares of the differences between observed (dataset) and expected (expected.value()) values.

objective.approx() uses expected.approx() rather than expected() to calculate expectations, as per equation 6.

Robin K. S. Hankin

fit.davies.p, fit.davies.q

params <- c(10, 0.1, 0.1)
x <- rdavies(100,params)
objective(params,x)
objective.approx(params,x)

objective(least.squares(x),x)
objective(davies.start(x),x)