logo
Guest editorial
An explanation of generalized profile likelihoods
Estimation and testing in generalized partial linear models—A comparative study
Discussion of the paper by Dr. M. Müller
Nonparametric regression using linear combinations of basis functions
Semiparametric lack-of-fit tests in an additive hazard regression model
Parameter estimation for a deformable template model
Likelihood estimation for stochastic compartmental models using Markov chain methods
Corrected p-values for tests based on estimated nuisance parameters
Bootstrap estimation of actual significance levels for tests based on estimated nuisance parameters
Adaptive wavelet series estimation in separable nonparametric regression models