Publikationen

2013

2012

2011

2010

2013

T. Hildebrandt, N. Bissantz, H. Dette. Additive inverse regression models with convolution-type operators, (PDF)

K. Sen, P. Preuß, H. Dette. Measuring stationarity in long-memory processes, (PDF)

B. Berghaus, A. Bücher. Nonparametric tests for tail monotonicity, (PDF)

J. Gu, R. Koenker, S. Volgushev. Testing for homogeneity in mixture models, (PDF)

S. Volgushev. Smoothed quantile regression processes for binary response models, (PDF)

2012

H. Dette, A. Pepelyshev, A. Zhigljavsky. Design for regression models with correlated errors, (PDF)

H. Dette, K. Schorning. Complete classes of designs for nonlinear regression models and principal representations of moment spaces, (PDF)

R. Gralla, K. Kraft, S. Volgushev. The effects of works councils on overtime hours - a censored quantile regression approach, (PDF)

P. Preuß, M. Vetter. Discriminating between long-range dependence and non-stationarity, (PDF)

H. Dette, S. Titoff, S. Volgushev, F. Bretz. Model identification for dose response signal detection, (PDF)

S. Volgushev, J. Wagener, H. Dette. Censored quantile regression processes under dependence and penalization, (PDF)

B. Berghaus, A. Bücher, H. Dette. Minimum distance estimation of Pickands dependence function for multivariate distributions, (PDF)

H. Dette, A. Pepelyshev, A. Zhigljavsky. 'Nearly' universally optimal designs for models with correlated observations, (PDF)

A. Bücher. A note on nonparametric estimation of bivariate tail dependence, (PDF)

H. Dette, V.B. Melas, P. Shpilev. Robust T-optimal discriminating designs, (PDF)

K. Proksch, N. Bissantz, H. Dette. Confidence bands for multivariate and time dependent inverse regression models, (PDF)

A. Bücher, M. Ruppert. Consistent testing for a constant copula under strong mixing based on the tapered block multiplier technique, (PDF)

S. Volgushev, M. Birke, H. Dette, N. Neumeyer. Significance testing in quantile regression, (PDF)

H. Dette, Werner G. Müller. Optimal designs for regression models with a constant coefficient of variation, (PDF)

A. Bücher, M. Vetter. Nonparametric inference on Lévy measures and copulas, (PDF)

H. Dette, M. Guhlich, J. Nagel. Distributions on matrix moment spaces, (PDF)

P. Behl, G. Claeskens, H. Dette. Focused model selection in quantile regression, (PDF)

J. Wagener, S. Volgushev, H. Dette. The quantile process under random censoring, (PDF)

H. Dette, C. Kiss. Optimal designs for rational regression models, (PDF)

H. Dette, J. Kunert. Optimal designs for the Michaelis Menten model with correlated observations, (PDF)

J. Wagener, H. Dette. The adaptive Lasso in high dimensional sparse heteroscedastic models, (PDF)

2011

H. Dette, M. Guhlich, N. Neumeyer. Testing for additivity in nonparametric quantile regression, (PDF)

M. Vetter. Estimation of integrated volatility of volatility with applications to goodness-of-fit testing, (PDF)

K. Christensen, M. Podolskij, M. Vetter. On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes, (PDF)

H. Dette, M. Hallin, T. Kley, S. Volgushev. Of copulas, quantiles, ranks and spectra: An $L_1$-approach to spectral analysis, (PDF)

D. Braess, H. Dette. Optimal discriminating designs for several competing regression models, (PDF)

A. Bücher, S. Volgushev. Empirical and sequential empirical copula processes under serial dependence, (PDF)

H. Dette, A. Pepelyshev, A. Zhigljavsky. Optimal design for linear models with correlated observations, (PDF)

H. Dette, C. Kiss, N. Benda, F. Bretz. Optimal designs for dose finding studies with an active control, (PDF)

P. Preuß, M. Vetter, H. Dette. A test for stationarity based on empirical processes, (PDF)

A. Bücher, H. Dette, S. Volgushev. A test for Archimedeanity in bivariate copula models, (PDF)

P. Preuß, T. Hildebrandt. Comparing spectral densities of stationary time series with unequal sample sizes, (PDF)

S. Delvaux, H. Dette. Zeros and ratio asymptotics for matrix orthogonal polynomials, (PDF)

H. Dette, M. Trampisch. Optimal designs for quantile regression models, (PDF)

D. Wied, M. Arnold, N. Bissantz, D. Ziggel. A new fluctuation test for constant variances with applications to finance, (PDF)

H. Dette, V.B. Melas, P. Shpilev. T-optimal designs for discrimination between two polynomial models, (PDF)

P. Behl, H. Dette, M. Frondel, H. Tauchmann. Being focused: When the purpose of inference matters for model selection, (PDF)

J. Wagener, H. Dette. Bridge estimators and the adaptive Lasso under heteroscedasticity, (PDF)

M. Birke, N. Bissantz. Testing for symmetries in multivariate inverse problems, (PDF)

N. Bissantz, H. Holzmann. Asymptotics for spectral regularization estimators in statistical inverse problems.

N. Bissantz, A.C. Jenke, M. Trampisch, R. Klaassen-Mielke, K. Bissantz, Holland-Letz, T. Hospital-based, prospective, multicentre surveillance to determine the incidence of intussusception in children aged < 15 years in Germany.

P. Preuß, M. Vetter, H. Dette. Testing semiparametric hypotheses in locally stationary processes, (PDF)

H. Dette, J. Wagener, S. Volgushev. Nonparametric comparison of quantile curves: A stochastic process approach, (PDF)

H. Dette, S. Hoderlein, N. Neumeyer. Testing multivariate economic restrictions using quantiles: The example of Slutsky negative semidefiniteness, (PDF)

A. Bücher, H. Dette. Multiplier bootstrap of tail copulas - with applications, (PDF)

2010

K.C. Detloff, C.D. Zander, N. Bissantz, D. Ziggel. Saisonale Variation im Nahrungsverhalten des fakultativen Putzerfisches Symphodus melanocercus (Risso) im Tyrrhenischen Meer (Italien).

H. Dette, K. Sen. Goodness-of-fit tests in long-range dependent processes under fixed alternatives, (PDF)

K. Bissantz, N. Bissantz, D. Ziggel. Diversification effects between stock indices, (PDF)

H. Dette, M. Marchlewski, J. Wagener. Testing for a constant coefficient of variation in nonparametric regression, (PDF)

J. Nagel, J. Wagener, F. Gamboa, A. Rouault. Large deviations for random matricial moment problems, (PDF)

P. Behl, H. Dette, M. Frondel, H. Tauchmann. Choice is suffering: A focused information criterion for model selection, (PDF)

T. Holland-Letz, H. Dette, D. Renard. Efficient algorithms for calculating optimal designs in pharmacokinetics and dose finding studies, (PDF)

H. Dette, B. Bornkamp, F. Bretz. On the efficiency of adaptive designs, (PDF)

S. Biedermann, N. Bissantz, H. Dette, E. Jones. Optimal designs for indirect regression, (PDF)

M. Arnold, N. Bissantz, D. Wied, D. Ziggel. A new online-test for changes in correlations between assets, (PDF)

H. Dette, P. Preuß, M. Vetter. A measure of stationarity in locally stationary processes with applications to testing, (PDF)

H. Dette, V.B. Melas. A note on the de la Garza phenomenon for locally optimal designs, (PDF)

M. Vetter. Estimation of correlation for continuous semimartingales, (PDF)

J. Nagel, H. Dette. Distributions on unbounded moment spaces and random moment sequences, (PDF)

N. Bissantz, V. Steinorth, D. Ziggel. Stabilität von Diversifikationseffekten im Markowitz-Modell, (PDF)

H. Dette, A. Pepelyshev, W.K. Wong. Optimal experimental design strategies for detecting hormesis, (PDF)

A. Bücher, H. Dette, S. Volgushev. New estimators of the Pickands dependence function and a test for extreme-value dependence, (PDF)

H. Dette, T. Kinsvater, M. Vetter. Testing nonparametric hypotheses for stationary processes by estimating minimal distances, (PDF)

P. Behl, H. Dette, M. Vetter. A note on martingale transforms for model checks, (PDF)

H. Dette and T. Hildebrandt. A note on testing hypotheses for stationary processes in the frequency domain, (PDF)

B. Bornkamp, H. Dette, F. Bretz and J. Pinheiro. Response-adaptive dose-finding under model uncertainty, (PDF)

S. Biedermann, H. Dette, D.C. Woods. Optimal design for additive partially nonlinear models, (PDF)

M. Birke, N. Neumeyer. Testing monotonicity of regression functions - an empirical process approach, (PDF)

F. Balabdaoui, K. Bissantz, N. Bissantz, H. Holzmann. Demonstrating single- und multiple currents through the E. coli-SecYEG-pore: Testing for the number of modes of noisy observations.

C. Marek, N. Bissantz, E. Curio, A. Siegert, B. Tacud, D. Ziggel. Spatial orientation of the Philippine bent-toed gecko (Cyrtodactylus philippinicus) in relation to its home range.

N. Bissantz, H. Holzmann, M. Pawlak. Improving PSF calibration in confocal microscopic imaging - estimating and exploiting bilateral symmetry, (PDF)

H. Dette, K.F. Siburg, P.A. Stoimenov. A copula-based nonparametric measure of regression dependence, (PDF)

H. Dette, A. Pepelyshev. NPUA: A new approach for the analysis of computer experiments, (PDF)

2009

A. Bücher, H. Dette. A note on bootstrap approximations for the empirical copula process, (PDF)

N. Bissantz, H. Dette, K. Proksch. Model checks in inverse regression models with convolution-type operators, (PDF)

H. Dette, C. Heuchenne. Scale checks in censored regression, (PDF)

M. Podolskij, M. Vetter. Understanding limit theorems for semimartingales: a short survey, (PDF)

A. Bücher, H. Dette, G. Wieczorek. Testing model assumptions in functional regression models, (PDF)

S. Biedermann, H. Dette, D.C. Woods. Optimal designs for multivariable spline models, (PDF)

M. Guhlich, J. Nagel, H. Dette. Random block matrices generalizing the classical ensembles, (PDF)

S. Volgushev, H. Dette. Nonparametric quantile regression for twice censored data, (PDF)

H. Dette, A. Pepelyshev. Generalized Latin hypercube design for computer experiments, (PDF)

H. Dette, M. Trampisch. A general approach to D-optimal designs for weighted univariate polynomial regression models, (PDF)

H. Dette, V.B. Melas, P. Shpilev. Optimal designs for estimating the slope in nonlinear regression, (PDF)

H. Dette, A. Pepelyshev, A. Zhigljavsky. A new approach to optimal designs for models with correlated observations, (PDF)

H. Dette, C. Kiss, M. Bevanda, F. Bretz. Optimal designs for the EMAX, log-linear and exponential model, (PDF)

M. Birke, H. Dette, K. Stahljans. Testing symmetry of a nonparametric bivariate regression function, (PDF)

H. Dette, A. Pepelyshev, W.K. Wong. Optimal designs for composed models in pharmacokinetic-pharmacodynamic experiments, (PDF)

H. Dette, V.B. Melas, P. Shpilev. Optimal designs for trigonometric regression models, (PDF)

H. Dette, A. Pepelyshev, P. Shpilev, W.K. Wong. Optimal designs for discriminating dose response models in toxicology studies, (PDF)

M. Vetter, H. Dette. Model checks for the volatility under microstructure noise, (PDF)

H. Dette, N. Leonenko, A. Pepelyshev, A. Zhigljavsky. Asymptotic optimal designs under long-range dependence error structure, (PDF)

H. Dette, J. Wagener, S. Volgushev. Nonparametric analysis of covariance using quantile curves, (PDF)

H. Dette, M. Marchlewski. A robust test for homoscedasticity in nonparametric regression, (PDF)

H. Dette, A. Pepelyshev, T. Holland-Letz. Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics, (PDF)

T. Holland-Letz, H. Dette, A. Pepelyshev. A geometric characterization of c-optimal designs for regression models with correlated observations, (PDF)

A. Bücher, H. Dette. Some comments on goodness-of-fit tests for the parametric form of the copula based on L^2-distances, (PDF)

H. Dette, A. Pepelyshev, P. Shpilev, W.K. Wong. Optimal designs for estimating critical effective dose under model uncertainty in a dose response study, (PDF)

M. Vetter. Limit theorems for bipower variation of semimartingales, (PDF)

H. Dette, J. Nagel. Matrix measures, random moments and Gaussian ensembles, (PDF)

H. Dette, J. Wagener. Matrix measures on the unit circle, moment spaces, orthogonal polynomials and the Geronimus relations, (PDF)

P. Anders, H. Baumgardt, N. Bissantz, S. Portegies Zwart. How well do STARLAB and NBODY4 compare? I: Simple models, (PDF)

J. Jacod, M. Podolskij, M. Vetter. Limit theorems for moving averages of discretized processes plus noise, (PDF)

2008

M. Podolskij, M. Vetter. Bipower-type estimation in a noisy diffusion setting, (PDF)

H. Dette, E. Paparoditis. Bootstrapping frequency domain tests in multivariate time series with an application to comparing spectral densities, (PDF)

H. Dette, T. Holland-Letz. A geometric characterization of c-optimal designs for heteroscedastic regression, (PDF)

N. Bissantz, L. Dümbgen, A. Munk, B. Stratmann. Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces, (PDF)

H. Dette, C. Kiss, W.K. Wong. Robustness of optimal designs for the Michaelis-Menten model under a variation of criteria, (PDF)

F. Bretz, H. Dette, J. Pinheiro. Practical considerations for optimal designs in clinical dose finding studies, (PDF)

H. Dette, V.B. Melas, A. Pepelyshev. Optimal designs for estimating the slope of a regression, (PDF)

H. Dette, V.B. Melas. A note on all-bias designs with applications in spline regression models, (PDF)

N. Bissantz, H. Holzmann, M. Pawlak. Testing for image symmetries - with application to confocal microscopy, (PDF)

M. Birke, N. Bissantz, H. Holzmann. Confidence bands for inverse regression models -- with application to gel electrophoresis, (PDF)

N. Bissantz, M. Birke. Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators, (PDF)

R. Weißbach, H. Dette. Bias in nearest-neighbor hazard estimation, (PDF)

H. Dette, J. Nagel. Some asymptotic properties of the spectrum of the Jacobi ensemble, (PDF)

M. Birke, H. Dette. A note on random orthogonal polynomials on a compact interval, (PDF)

H. Dette, B. Reuther. Some comments on quasi-birth-and death processes and matrix measures, (PDF)

H. Dette, B. Reuther. Random block matrices and matrix orthogonal polynomials, (PDF)

H. Dette, A. Pepelyshev, W.K. Wong. Optimal designs for dose finding experiments in toxicity studies, (PDF)

N. Bissantz, G. Claeskens, H. Holzmann, A. Munk. Testing for lack of fit in inverse regression -- with applications to biophotonic imaging.

M. Birke. Shape constrained kernel density estimation, (PDF)

H. Dette, B. Hetzler. A martingale-transform goodness-of-fit test for the form of the conditional variance, (PDF)

H. Dette, S. Titoff. Optimal discrimination designs, (PDF)

H. Dette, R. Scheder. A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay, (PDF)

H. Dette, V.B. Melas, P. Shpilev. Optimal designs for estimating pairs of coefficients in Fourier regression models, (PDF)

2007

M. Pohl, P. Englmaier, N. Bissantz. 3D Distribution of Molecular Gas in the Barred Milky Way, (PDF)

J. Jacod, Y. Li, P. Mykland, M. Podolskij, M. Vetter. Microstructure Noise in the Continuous Case: The Pre-Averaging Approach, (PDF)

N. Bissantz, H. Holzmann. Statistical Inference for Inverse Problems, (PDF)

H. Dette, C. Kiss. Optimal experimental designs for inverse quadratic regression models, (PDF)

H. Dette, G. Wieczorek. Testing for a constant coefficient of variation in nonparametric regression, (PDF)

M. Birke, N. Bissantz. Shape constrained estimators in inverse regression models with convolution-type operator, (PDF)

N. Bissantz, B. Mair, A. Munk. Stochastic multi-scale selection of the stopping index in PET. Proceedings in Applied Mathematics and Mechanics, (PDF)

H. Dette, J.C. Pardo-Fernandéz, I. van Keilegom. Goodness-of-fit Tests for Multiplicative Models with Dependent Data, (PDF)

H. Dette, D.P. Wiens. Robust Designs for Series Estimation, (PDF)

M. Birke, K.F. Pilz. Nonparametric Option Pricing with No-Arbitrage Constraints, (PDF)

H. Dette, R. Scheder. Non-crossing Marginal Effects in Additive Quantile Regression, (PDF)

H. Dette, A. Pepelyshev, A. Zhigljavsky. Improving updating rules in multiplicative algorithms for computing D-optimal designs, (PDF)

H. Dette, V. B. Melas, A. Pepelyshev. Optimal designs for smoothing splines, (PDF)

H. Dette, M. Marchlewski. A test for the parametric form of the variance function in a partial linear regression model, (PDF)

H. Dette, M. Trampisch, L.A. Hothorn. Robust Designs in Non-Inferiority Three Arm Clinical Trials with Presence of Heteroscedasticity, (PDF)
MatLab-Programm zur Berechnung der Designs

M. Podolskij, D. Ziggel. A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models, (PDF)

M. Podolskij, D. Ziggel. Bootstrapping Bipower Variation, Technical report, (PDF)

F. Miller, H. Dette, O. Guilbaud. Optimal designs for estimating the interesting part of a dose-effect curve, (PDF)

H. Dette, S. Volgushev, Non-crossing nonparametric estimates of quantile curves, (PDF)

S. Kinnebrock, M. Podolskij. A Note on the Central Limit Theorem for Bipower Variation of General Functions, (PDF)

H. Dette, D.P. Wiens. Robust designs for 3D shape analysis with spherical harmonic descriptors, (PDF)

P. Anders, N. Bissantz, L. Boysen, R. de Grijs, U. Fritze - v. Alvensleben. The Young Star Cluster System in the Antennae: Evidence for a Turnover in the luminosity function, (PDF)

N. Bissantz, L. Dümbgen, H. Holzmann, A. Munk. Nonparametric confidence bands in deconvolution density estimation, (PDF)

F. Bretz, H. Dette, A. Pepelyshev, J. Pinheiro. Optimal designs for dose finding studies (PDF)

2006

Christensen, Podolskij, Vetter, Bias-Correcting the Realized Range-Based Variance in the Presence of Market Microstructure Noise (PDF)

Podolskij, Vetter, Estimation of Volatility Functionals in the Simultaneous Presence of Microstructure Noise and Jumps (PDF)

Birke, Central limit theorems for the integrated squared error of derivative estimators (PDF)

Birke, Dette,Testing strict monotonicity in nonparametric regression, (PDF)

Dette, Melas, Pepelyshev, Optimal designs for free knot least squares splines, (PS)

Christensen, Podolskij, Range-Based Estimation of Quadratic Variation, (PDF)

Strigul, Dette, Melas, A practical guide for optimal designs of experiments in the Monod model, (PDF)

Dette, Weißbach, A Bootstrap Test for the Comparison of Nonlinear Time Series - with Application to Interest Rate Modelling, (PDF)

Dette, Melas, Pepelyshev, Optimal designs for statistical analysis with Zernike polynomials (PS)

Biedermann, Dette, Hoffmann, Constrained optimal discriminating designs for Fourier regression models (PS)

Dette, Ziggel, Discount curve estimation by monotonizing McCulloch Splines, (PDF)

Dette, Hetzler, A simple test for the parametric form of the variance function in nonparametric regression, (PS)

Biedermann and Nagel, Munk and Holzmann, Steland, Tests in a Case-Control Design Including Relatives (PDF)

Dette, Kunert, Pepelyshev, Exact optimal designs for weighted least squares analysis with correlated errors (PS)

Dette, Weißbach, Kolmogorov-Smirnov-type testing for the partial homogeneity of Markov processes - with application to credit risk, (PS)

2005

Dette, Podolskij, Testing the parametric form of the volatility in continuous time diffusion models - an empirical process approach, (PS)

Kiwitt, Nagel, Neumeyer, Empirical likelihood estimators for the error distribution in nonparametric regression models, (PS 2.31MB)

Neumeyer, A note on uniform consistency of monotone function estimators (PS)

Dette, van Keilegom, A new test for the parametric form of the variance function in nonparametric regression (PDF)

Hall, Neumeyer, Estimating a bivariate density when there are extra data on one or both components (PDF)

Birke, Dette, A note on estimating a smooth monotone regression by combining kernel and density estimates (PDF)

Dette, Reuther, Studden, Zygmunt, Matrix measures and random walks (PS)

Biedermann, Dette, Optimal Discrimination Designs for Exponential Regression Models (PDF)

Dette, Melas, A note on some extremal problems for trigonometric polynomials (PS 1.22MB)

Birke, Dette, Estimating a convex function in nonparametric regression

Christensen, Podolski, Asymptotic Theory for Range-Based Estimation of integrated Variance of a Continuous Semi-Martingale, (PDF)

Dette, Scheder, Strictly monotone and smooth nonparametric regression for two or more variables (PS)

Dette, Melas, Shpilev, Optimal designs for estimating the coefficients of the lower frequencies in trigonometric regression models (PDF)

Dette, Pepelyshev, Efficient experimental designs for sigmoidal growth models (PDF)

Biedermann, Dette, Zhu, Geometric construction of optimal designs for dose-response models with two parameters, (PDF)

Dette, Gamboa, Asymptotic properties of the algebraic moment range process (PDF)

Mora, Neumeyer, The two-Sample Problem with Regression Errors: An Empirical Process Approach, (PDF)

Biedermann, Dette, Zhu, Compound Optimal Designs for Percentile Estimation in Dose-Response Models with Restricted Design Intervals, (PDF)

Braess, Dette, On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models (PS)

2004

Dette, Imhof, Uniform approximation of eigenvalues in Laguerre and Hermite b-ensembles by roots of orthogonal polynomials, (PS)

Steland, Random walks with drift - A sequential view, (PS)

Bart A.G., Bart V.A., Steland A., Zaslavskiy, Modeling disease dynamics and survivor functions by sanogenesis curves (PS, 1.6 MB)

Steland, On the distribution of the clipping median under a mixture model, (PDF)

Barndorff-Nielsen, Graversen, Jacod, Podolskij, Shephard, A Central Limit Theorem for Realised Power and Bipower Variations of Continuous Semimartingales, (PDF)

Dette, Hetzler, Specification tests indexed by bandwidths, (PDF)

Dette, Pilz, On the estimation of a monotone conditional variance in nonparametric regression (PS)

Biedermann, Dette, Zhu, Optimal designs for dose-response models with restricted design spaces (PS)

Neumeyer, Dette, Nagel, Bootstrap tests for the error distribution in linear and nonparametric regression models, (PS)

Dette, Melas, Pepelyshev, Strigul, Design of experiments for the Monod model - robust and efficient designs (PS)

Dette, Podolskij, Vetter, Estimation of integrated volatility in continuous time financial models with applications to goodness-of-fit testing, (PS)

Dette, Wong, Zhu, On the Equivalence of Optimality Design Criteria for the Placebo-Treatment Problem (PS)

Munk, Neumeyer, Scholz, Nonparametric Analysis of Covariance - the Case of Inhomogeneous and Heteroscedastic Noise, (PS)

Dette, Melas, Wong, Optimal design for goodness-of-fit of the Michaelis-Menten enzyme kinetic function, (PS)

Dette, Melas, Pepelyshev, Optimal designs for 3D shape analysis with spherical harmonic descriptors (PS)

Dette, Pilz, A comparative study of monotone nonparametric kernel estimates, (PS)Tabelle(PDF)

Biedermann, Dette, Pepelyshev,Some robust design strategies for percentile estimation in binary response models, (PS)

Dette, Melas, Wong, Locally D-optimal Designs for Exponential Regression, ( PS)

Braess, Dette, The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities, (PS)

Lopez, Rodriguez, Pepelyshev, DetteEfficient design of experiment for exponential regression models, (PS)

Melas, On the functional approach to optimal designs for nonlinear models, (PDF)

Bachmann, Dette A note on the Bickel-Rosenblatt test in autoregressive time series, (PS)

2003

Birke, Dette, A note on testing the covariance matrix for large dimension, (PS)

Neumeyer, Pilz, Dette, A note on nonparametric estimation of the effective dose in quantal bioassay, (PS)

Dette, Melas, Strigul, Design of experiments for microbiological models, (PS), (PS)

Dette, Melas, Pepelyshev, Locally E-optimal designs for exponential regression models, (PS)

Dette, Haines, Imhof, Bayesian and maximin optimal designs for heteroscedastic regression models

Maximin Optimal Designs for the Compartmental Model, (PS)

Dette, Kwiecien, Finite sample performance of sequential designs for model identification, (PS 1.44 MB)

Biedermann, Dette, Numerical Construction of Maximin Optimal Designs for Binary Response Models (PS)

Dette, Neumeyer, Pilz, A simple nonparametric estimator of a monotone regression function,(PS zip)

Zhang, Dette, A Power Comparison Between Nonparametric Regression Tests (PS zip)

Dette, Nagel, Neumeyer, A note on testing symmetry of the error distribution in linear regression models, (PS)

O'Brien, Dette, Efficient experimental design for the Behrens-Fisher problem with application to bioassay

Neumeyer, Sperlich, Comparison of Separable Components in Different Samples, (PS zip)

Dette, Haines, Imhof, Maximin and Bayesian optimal designs for regression models, (PS,zip)

Neumeyer, Dette, Testing for symmetric error distribution in nonparametric regression models, (PS zip)

Studden, Dette, A note on the maximization of matrix valued Hankel determinants with applications, (PS zip)

Biedermann, Dette, A note on maximin and Bayesian D-optimal designs in weighted polynomial regression, (PS zip)

Dette, On robust and efficient designs for risk estimation in epidemiologic studies, (PS zip)

2002

Dette, Melas, Pepelyshev, Optimal designs for a class of nonlinear regression models

Neumeyer, Dette, A note on one-sided nonparametric analysis of covarianceby ranking residuals

Steland, Sequential control of time series by functionals of kernel-weighted
empirical processes under local alternatives

Steland, Optimal sequential kernel smoothers under local nonparametric alternatives
for dependent processes.

Pawlak, Rafajlowicz, Steland, On detecting jumps in time series - Nonparametric setting.

Dette, Studden, A note on the matrix valued q-d algorithm and matrix orthogonal polynomials on [0,1]

Dette, Munk, Some Methodological Aspects of Validation of Models in Nonparametric Regression

Dette, Spreckelsen, A note on a specification test for time series models based on spectral density estimation

Dette, Biedermann, Robust and efficient designs for the Michaelis-Menten model

Dette, Canonical moments, orthogonal polynomials with application to statistics

Neumeyer, A central limit theorem for two-sample U-processes

Dette, Melas, Pepelyshev, Strigul, Efficient design of experiments in the Monod model

Dette, Studden, Quadrature formulas for matrix measures -- a geometric appoach

Dette, Melas, Pepelyshev, Standardized maximin E-optimal design for the Michaelis Menten model

Dette, Haines, Imhof, Maximin and Bayesian optimal designs for linear and non-linear regression models

2001

Dette, Melas Optimal designs for estimating individual coefficients in Fourier regression models

Antille, Dette, Weinberg A note on optimal designs in weighted polynomial regression for the classical efficiency functions

Dette, Studden, Matrix Measures, Moment Spaces and Favard's Theorem for the
Interval [0,1] and [0,\infty)

Steland, On Jump-Preserving Sequential Control for Certain
Mixing Processes with Applications in Finance and Econometrics

Dette, Melas, Pepelyshev, D-optimal designs for trigonometric regression models on
a partial circle

Dette, v. Lieres, On a test for constant volatility in continuous time financial models

Dette, Melas, Biedermann, A functional-algebraic determination of D-optimal designs for trigonometric regression models on a partial circle

Dette, Song, Wong, Robustness properties of minimally-supported
Bayesian D-optimal designs for heteroscedastic models

Dette, v. Lieres, Sperlich, A comparison of different nonparametric methods
for inference on additive models

Dette, Kusi-Appiah, Neumeyer,)Testing symmetry in nonparametric regression models

Dette, Grigoriev, A unified asymptotic expansion for distributions of quadratic functionals in nonlinear regression models

Dette, Spreckelsen Some comments on specification tests in nonparametric absolutely regular processes

Dette Strong Approximation of eigenvalues of large dimensional Wishart matrices by roots of generalized Laguerre polynomials

2000

Dette, A consistent test for heteroscedasticity in nonparametric regression based on the kernel method

Dette, Franke, Constrained D- and D1-optimal designs for polynomial regression

Dette, Franke, Robust designs for polynomial regression by maximizing a minimum of D-and D1-efficiencies

Biedermann, Dette, Testing linearity of regression models with dependent errors by kernel based methods

Munk, Ruymgaart, Minimax rates for estimating the variance and its derivatives
in nonparametric regression - an application of the van Trees inequality

Dette, Neumeyer, Non-parametric analysis of covariance

Steland, Detecting Fast-Varying Drifts of Financial Time Series by Jump-Preserving Nonparametric Control Charts

Schmid, Steland, Sequential Control of Non-Stationary Processes by Nonparametric Kernel Control Charts.

Biedermann, Dette, Optimal designs for testing the functional form of a regression via nonparametric estimation techniques.

Biedermann, Dette, Minimax optimal designs for nonparametric regression - a further optimality property of the uniform distribution.

Dette, v. Lieres, Testing additivity by kernel based methods - what is a reasonable
test?

Dette, Neumeyer, Nonparametric comparison of regression curves - an empirical
process approach.

Dette, Melas, Optimal designs for estimating individual coefficients in
polynomial regression - a functional approach.

1999

Dette, Haines, Imhof, Optimal Designs for Rational Models and Weighted Polynomial Regression.

Dette, On a nonparametric test for linear relationships.

Dette, First return probabilities of birth and death chains and associated orthogonal polynomials.

Munk, Connections Between Average and Individual Bioequivalence.

Czado, Munk,Noncanonical Links in Generalized Linear Models - When is the Effort Justified?

Munk, Czado,A Completely Nonparametric Approach to Population Bioequivalence in Crossover Trials.

Munk, Testing the goodness of fit of parametric regression models with random Toeplitz forms.

Munk, An unbiased test for the average equivalence problem - the
small sample case.

Munk, Optimal Inference for Circular Variation Diminishing Experiments with Applications to the von Mises Distribution and the Fisher-Efron Parabola Model.

Steland, On Robust GMM Estimation with Applications in Economics and
Finance.

Steland, Ordinal Regression Based on the Rank Modeling Approach.

1998

Dette, O'Brien, Optimal Criteria for Regression Models based on Predicted Variance.

Munk, A note on Unbiased Testing for the Bioequivalence Problem - another Christmas Tree.

Dette, Wong, E-Optimal Designs for the Michaelis-Menten Model.

Dette, Lo Huang, Convex Optimal designs for Compound Polynomial Extrapolation.

Dette, Grigoriev, A unified approach to Second Order Optimality Criteria in Nonlinear Design of Experiments.

Dette, A Consistent Test for the Functional Form of a Regression based on a Difference of Variance Estimators.

Derbort, Dette, Analysis of Variance in Nonparametric Regression Models.

Dette, Spreckelsen, A Test for Randomness against ARMA Alternatives.

Munk, Pflüger,1-alpha Equivariant Confidence Rules for Convex Alternatives are alpha/2-Level Tests - with Applications to the Multivariate Assessment of Bioequivalence.

1997

Dette, Munk, Wagner Estimating the Variance in Nonparametric Regression by Quadratic Forms - what is a reasonable choice?

Dette, Munk, Wagner, A review of Variance Estimators with extensions to Multivariate Nonparametric Regression Models.

Dette, Munk, Testing Heteroscedasticity in Nonparametric Regression.

Munk, Optimal Inference for the von Mises Distribution with Applications to Efron's Parabola Model.

Brunner, Dette, Munk, Box-type Approximations in Nonparametric Factorial Designs.

Dette, Sahm, Standardized Optimal Designs for Binary Response Experiments.

Dette, Haller, Optimal Discriminating Designs for Fourier Regression.

Dette, Some Applications of Canonical Moments in Fourier Regression Models.

Munk, Tchebycheff-Experiments.

Dette, Sahm, Minimax Optimal Designs in Nonlinear Regression Models.

Dette, Wong, Optimal Designs for Modeling Response's Variance as a Function of the Mean.

Dette, Wong, Bayesian Optimal Designs for Models with an Exponential Efficiency Function on a Compact Design Space.

Dette, Munk, Wagner, Testing Model Assumptions in Multivariate Linear Regression Models.

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