objective: The objective function for fitting the Davies distribution

In Davies: The Davies Quantile Function

The objective function for fitting the Davies distribution

Description

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

Usage

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

Arguments

params	A three-member vector holding C, \lambda_1 and \lambda_2
dataset	The dataset to be considered

Details

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

Value

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.

Author(s)

Robin K. S. Hankin

See Also

fit.davies.p, fit.davies.q

Examples

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)
  

Davies documentation built on June 8, 2025, 1:47 p.m.