Krumbholz plans

Description Details Author(s) References Examples

For both types of plans the OC is implemented. Using a four step approximation generating intermediate plans the final optimal plan are determined quickly. Details can be found in the reference resp. an upcoming paper by the package author and Prof. Dr. Krumbholz.

Package:	ExLiebeRes
Type:	Package
Version:	1.0
Date:	2012-10-22
License:	GPL >= 2

For an user the function findOptPlan is the main interface. For any usable set of parameters p1, p2, alpha, beta the optimal variable samplnig plan either of type Lieberman/Reshnikov (\"LR\") or Bruhn-Suhr/Krumbholz (\"BSK\") is determinded.

For researchers the underlying OC function and intermediate plans may also be evaluated directly.

Not all possible combinations of parameters give numerically usable results. The underlying integrals become hard to evaluate if the sample size gets big (n >= ca 750) or the difference between p1 and p2 very small. Normally the internal integrate function just bails out in these cases.

The paper accompanies a paper written by Wolf Krumbholz and Detlef Steuer (to appear)

Maintainer: steuer@hsu-hh.de

paper to appear