Quadrature Routines for Ladder Variables

Doubly Adaptive Quadrature Routines based on Newton-Cote Rules

In this paper we test two recently published Matlab codes, adaptsim and adaptlob, using both a Lyness-Kaganove test and a battery type of test. Furthermore we modify these two codes using sequences of null rules in the error estimator with the intention to increase the reliability for both codes. In addition two new Matlab codes applying a locally and a globally adaptive strategy respectively a...

Enhanced routines for instrumental variables/GMM estimation and testing

We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity and RESET and autocorrelation tests for IV estimates.

Non-Hermitian quantum canonical variables and the generalized ladder operators.

Quantum canonical transformations of the second kind and the non-Hermitian realizations of the basic canonical commutation relations are investigated with a special interest in the generalization of the conventional ladder operators. The opeator ordering problem is shown to be resolved when the non-Hermitian realizations for the canonical variables which can not be measured simultaneously with ...

Quadrature Rules for Fuzzy Integrals

mkin - Routines for fitting kinetic models with one or more state variables to chemical degradation data

In the regulatory evaluation of chemical substances like plant protection products (pesticides), biocides and other chemicals, degradation data play an important role. For the evaluation of pesticide degradation experiments, detailed guidance has been developed, based on nonlinear optimisation. The R add-on package mkin implements fitting some of the models recommended in this guidance from wit...