tableRegLs: The result for the RSR method with respect to the normal...

Description Usage Format References


This data set is used to build up the response surface regressions in order to obtain the p-values for the normal likelihood ratio test. The simulation set-up of the response surface regression method is i.i.d. statistics of length 10^6 with 1000 replications and the interpolated series sizes are c(8:19,seq(20,50,2),seq(55,100,5)).




A list object with the following components:

model_matrix: A matrix with the estimated coefficents for the Response Surface Regressions (one row per quantile).

nc: a vectpr of the lengths of the simulated series.

pc: A vector containing all probabilities at which the quantiles are estimated.

r: the rate in the basis function g(n)=(1/n)^r.

q: the number of parameters (except the intercept) used in the response surface regression, the intercept term is removed if negative.


MacKinnon, James (2001) : Computing numerical distribution functions in econometrics, Queen's Economics Department Working Paper, No. 1037.

ptest documentation built on May 29, 2017, 7:02 p.m.