N. Neumeyer

发表

NONPARAMETRIC ANALYSIS OF COVARIANCE 1

H. Dette, N. Neumeyer, 2001 .

Estimation and hypotheses testing in boundary regression models

H. Drees, Leonie Selk, N. Neumeyer, 2019, Bernoulli.

A note on a specification test of independence

H. Dette, N. Neumeyer, 2000 .

Specification testing in semi-parametric transformation models

I. Van Keilegom, N. Neumeyer, Nick Kloodt, 2021, TEST.

A note on testing independence by a copula-based order selection approach

N. Neumeyer, Sebastian Kiwitt, 2012, TEST.

Comparison of Separable Components in Different Samples

Stefan Sperlich, Natalie Neumeyer, S. Sperlich, 2006 .

An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach

Andrej-Nikolai Spiess, Natalie Neumeyer, A. Spiess, 2010, BMC pharmacology.

A simple nonparametric estimator of a strictly monotone regression function

H. Dette, K. F. Pilz, Natalie Neumeyer, 2006 .

Testing Monotonicity of Regression Functions – An Empirical Process Approach

M. Birke, N. Neumeyer, 2013 .

A new test for the parametric form of the variance function in non‐parametric regression

Holger Dette, Ingrid Van Keilegom, Natalie Neumeyer, 2007 .

Specification tests in semiparametric transformation models - A multiplier bootstrap approach

Natalie Neumeyer, Nick Kloodt, N. Neumeyer, 2017, Comput. Stat. Data Anal..

Specification tests in semiparametric transformation models

N. Neumeyer, Nick Kloodt, 2017 .

Estimating the Conditional Error Distribution in Non‐parametric Regression

N. Neumeyer, Sebastian Kiwitt, 2012 .

A note on residual-based empirical likelihood kernel density estimation

Birte Muhsal, N. Neumeyer, 2010 .

Change‐Point Tests for the Error Distribution in Non‐parametric Regression

I. Keilegom, N. Neumeyer, 2009 .

Testing independence in nonparametric regression

Natalie Neumeyer, N. Neumeyer, 2009, J. Multivar. Anal..

A bootstrap version of the residual-based smooth empirical distribution function

N. Neumeyer, 2008 .

Empirical likelihood estimators for the error distribution in nonparametric regression models

N. Neumeyer, Sebastian Kiwitt, Eva-Renate Nagel, 2008 .

A note on uniform consistency of monotone function estimators

Natalie Neumeyer, N. Neumeyer, 2007 .

econstor Make Your Publications Visible . A Service of zbw

N. Neumeyer, 2005 .

A simple nonparametric estimator of a monotone regression function

H. Dette, N. Neumeyer, K. Pilz, 2003 .

Testing for symmetric error distribution in nonparametric regression models

H. Dette, Natalie Neumeyer, N. Neumeyer, 2003 .

Testing symmetry in nonparametric regression models

H. Dette, Sorina Kusi-Appiah, Natalie Neumeyer, 2002 .

Nonparametric comparison of regression curves: An empirical process approach

Holger Dette, Natalie Neumeyer, H. Dette, 2003 .

Nonparametric analysis of covariance

H. Dette, Natalie Neumeyer, N. Neumeyer, 2001 .

Nonparametric comparison of regression curves | anempirical process approachHolger

H. Dette, Natalie Neumeyer, N. Neumeyer, 2000 .

Testing for a Change of the Innovation Distribution in Nonparametric Autoregression: The Sequential Empirical Process Approach

Natalie Neumeyer, Leonie Selk, N. Neumeyer, 2012, 1211.1212.

Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models

M. Omelka, Š. Hudecová, N. Neumeyer, 2019, Scandinavian Journal of Statistics.

The independence process in conditional quantile location-scale models and an application to testing for monotonicity

M. Birke, N. Neumeyer, S. Volgushev, 2016, 1609.07696.

Testing Multivariate Economic Restrictions Using Quantiles: The Example of Slutsky Negative Semidefiniteness

Holger Dette, Natalie Neumeyer, Stefan Hoderlein, 2011 .

Testing multivariate economic restrictions using quantiles

H. Dette, Stefan Hoderlein, N. Neumeyer, 2011 .

A note on testing independence by a copula-based order selection approach

N. Neumeyer, Sebastian Kiwitt, 2013 .

Nonparametric copula density estimation: testing for independence and other applications

Natalie Neumeyer, S. Kiwitt, N. Neumeyer, 2008 .

A Note on Nonparametric Estimation of the Effective Dose in Quantal Bioassay

Holger Dette, Natalie Neumeyer, H. Dette, 2005 .

articleAn evaluation of R 2 as an inadequate measure for nonlinear models in pharmacological and biochemical research : a Monte Carlo approach

Andrej-Nikolai Spiess, Natalie Neumeyer, A. Spiess, 2015 .

SFB 823 Significance testing in quantile regression D iscussion P aper

H. Dette, Stanislav Volgushev, Natalie Neumeyer, 2012 .

A central limit theorem for two-sample U-processes

Natalie Neumeyer, N. Neumeyer, 2004 .

Estimating a bivariate density when there are extra data on one or both components

Natalie Neumeyer, Peter Hall, P. Hall, 2006 .

Bootstrap of residual processes in regression: to smooth or not to smooth?

Ingrid Van Keilegom, Natalie Neumeyer, I. Keilegom, 2017, Biometrika.

Smooth Residual Bootstrap for Empirical Processes of Non‐parametric Regression Residuals

Natalie Neumeyer, N. Neumeyer, 2009 .

BOOTSTRAP TESTS FOR THE ERROR DISTRIBUTION IN LINEAR AND NONPARAMETRIC REGRESSION MODELS

Holger Dette, Natalie Neumeyer, H. Dette, 2006 .

The Two-Sample Problem with Regression Errors : An Empirical Process Approach

J. Mora, N. Neumeyer, 2005 .

A note on testing symmetry of the error distribution in linear regression models

Holger Dette, Natalie Neumeyer, H. Dette, 2005 .

Testing for additivity in nonparametric quantile regression

H. Dette, N. Neumeyer, Matthias Guhlich, 2014, Annals of the Institute of Statistical Mathematics.

Estimating the error distribution in nonparametric multiple regression with applications to model testing

Ingrid Van Keilegom, Natalie Neumeyer, I. Keilegom, 2010, J. Multivar. Anal..

A note on non‐parametric testing for Gaussian innovations in AR–ARCH models

Natalie Neumeyer, Leonie Selk, N. Neumeyer, 2012, 1211.1204.

A simple test for comparing regression curves versus one-sided alternatives

J. Pardo-Fernández, N. Neumeyer, 2009 .

Non‐parametric Analysis of Covariance – The Case of Inhomogeneous and Heteroscedastic Noise

Axel Munk, Natalie Neumeyer, A. Munk, 2007 .