TY  - JOUR
A1  - Schöning, Michael Josef
A1  - Turek, M.
A1  - Heiden, W.
A1  - Riesen, A.
A1  - Chhabda, T. A.
A1  - Schubert, J.
A1  - Krüger, P.
A1  - Keusgen, M.
T1  - Artificial intelligence/fuzzy logic method for analysis of combined signals from heavy metal chemical sensors
JF  - Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI
Y1  - 2009
SN  - 0013-4686
SP  - 6082
EP  - 6088
PB  - Elsevier
CY  - New York
ER  - 
TY  - JOUR
A1  - Hunker, Jan L.
A1  - Gossmann, Matthias
A1  - Raman, Aravind Hariharan
A1  - Linder, Peter
T1  - Artificial neural networks in cardiac safety assessment: Classification of chemotherapeutic compound effects on hiPSC-derived cardiomyocyte contractility
JF  - Journal of Pharmacological and Toxicological Methods
Y1  - 2021
U6  - http://dx.doi.org/10.1016/j.vascn.2021.107044
SN  - 1056-8719
VL  - 111
IS  - Article number 107044
PB  - Elsevier
CY  - New York
ER  - 
TY  - JOUR
A1  - Stulpe, Werner
T1  - Aspects of the Quantum-Classical Connection Based on Statistical Maps
JF  - Foundations of Physics
Y1  - 2019
U6  - http://dx.doi.org/10.1007/s10701-019-00269-9
VL  - 49
IS  - 6
SP  - 677
EP  - 692
PB  - Springer
CY  - Berlin
ER  - 
TY  - THES
A1  - Engelmann, Ulrich M.
T1  - Assessing magnetic fluid hyperthermia : magnetic relaxation simulation, modeling of nanoparticle uptake inside pancreatic tumor cells and in vitro efficacy
Y1  - 2019
SN  - 978-3-945954-58-4
N1  - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2019
PB  - Infinite Science Publishing
CY  - Lübeck
ER  - 
TY  - JOUR
A1  - Albracht, Kirsten
A1  - Arampatzis, A.
A1  - Baltzopoulos, V.
T1  - Assessment of muscle volume and physiological cross-sectional area of the human triceps surae muscle in vivo
JF  - Journal of Biomechanics
Y1  - 2008
U6  - http://dx.doi.org/10.1016/j.jbiomech.2008.04.020
SN  - 0021-9290
VL  - 41
SP  - 2211
EP  - 2218
ER  - 
TY  - JOUR
A1  - Siqueira, José R. Jr.
A1  - Bäcker, Matthias
A1  - Poghossian, Arshak
A1  - Zucolotto, Valtencir
A1  - Oliveira, Osvaldo N. Jr.
A1  - Schöning, Michael Josef
T1  - Associating biosensing properties with the morphological structure of multilayers containing carbon nanotubes on field-effect devices
JF  - Physica status solidi (a). 207 (2010), H. 4
Y1  - 2010
SN  - 1862-6300
N1  - Special Issue: Engineering of Functional Interfaces EnFI 2009
SP  - 781
EP  - 786
ER  - 
TY  - JOUR
A1  - Bialonski, Stephan
A1  - Lehnertz, Klaus
T1  - Assortative mixing in functional brain networks during epileptic seizures
JF  - Chaos: An Interdisciplinary Journal of Nonlinear Science
Y1  - 2013
U6  - http://dx.doi.org/10.1063/1.4821915
VL  - 23
IS  - 3
SP  - 033139
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Asymptotic Normality Under the Koziol-Green Model
JF  - Communications in Statistics: Theory and Methods. 24 (1995), H. 6
Y1  - 1995
SN  - 0361-0926
SP  - 1537
EP  - 1549
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Kühlheim, René
A1  - Mendonca, Jorge
A1  - Una-Alcarez, Jacobo de
T1  - Asymptotic representation of presmoothed Kaplan–Meier integrals with covariates in a semiparametric censorship model
JF  - Journal of Statistical Planning and Inference
Y1  - 2015
U6  - http://dx.doi.org/10.1016/j.jspi.2015.12.001
SN  - 0378-3758
VL  - Vol. 171
SP  - 10
EP  - 37
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Asymptotically efficient estimation under semi-parametric random censorship models
JF  - Journal of multivariate analysis
N2  - We study the estimation of some linear functionals which are based on an unknown lifetime distribution. The observations are assumed to be generated under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. Under this setup a semi-parametric estimator of the survival function was introduced by the author. If the parametric model assumption is correct, it is known that the estimated functional which is based on this semi-parametric estimator is asymptotically at least as efficient as the corresponding one which rests on the nonparametric Kaplan–Meier estimator.

In this paper we show that the estimated functional which is based on this semi-parametric estimator is asymptotically efficient with respect to the class of all regular estimators under this semi-parametric model.
Y1  - 2014
U6  - http://dx.doi.org/10.1016/j.jmva.2013.10.002
SN  - 1095-7243 (E-Journal); 0047-259X (Print)
VL  - 124
SP  - 10
EP  - 24
PB  - Elsevier
CY  - Amsterdam
ER  -