[PDF][PDF] Conditional transformation models: interpretable parametrisations and censoring
L Möst - 2015 - core.ac.uk
Most well-known regression models focus on the estimation of the conditional mean given a
set of explanatory variables. Higher moments of the distribution function are usually …
set of explanatory variables. Higher moments of the distribution function are usually …
Generalized semiparametric varying-coefficient models for longitudinal data
L Qi - 2015 - search.proquest.com
In this dissertation, we investigate the generalized semiparametric varying-coefficient
models for longitudinal data that can flexibly model three types of covariate effects: time …
models for longitudinal data that can flexibly model three types of covariate effects: time …
Empirical likelihood for the class of single index hazard regression models
J Li, M Guo, C Du, R Zhang, H Lian - Journal of the Korean Statistical …, 2015 - Elsevier
Based on the B spline approximation technique and right censored data, we consider the
empirical likelihood inference for the index parameters and its partial components in a class …
empirical likelihood inference for the index parameters and its partial components in a class …
[PDF][PDF] Conditional transformation models
L Möst - 2015 - edoc.ub.uni-muenchen.de
Most well-known regression models focus on the estimation of the conditional mean given a
set of explanatory variables. Higher moments of the distribution function are usually …
set of explanatory variables. Higher moments of the distribution function are usually …