TY  - JOUR
A1  - Dikta, Gerhard
T1  - The Strong Law under Semiparametric Random Censorship Models
JF  - Journal of Statistical Planning and Inference. 83 (2000), H. 1
Y1  - 2000
SN  - 0378-3758
SP  - 1
EP  - 10
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Weak Representation of the Cumulative Hazard Function under Semiparametric Random Censorship Models
JF  - Statistics. 35 (2001), H. 4
Y1  - 2001
SN  - 0233-1888
SP  - 395
EP  - 410
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Time series methods to forecast patent filings
JF  - Forecasting innovations : methods for predicting numbers of patent filings ; with 71 tables / Peter Hingley ; Marc Nicolas (ed.),
Y1  - 2006
SN  - 978-3-540-35991-3
U6  - https://doi.org/10.1007/3-540-35992-3_6
N1  - ISBN 3-540-35991-5
SP  - 95
EP  - 124
PB  - Springer
CY  - Berlin [u.a.]
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Bootstrap Approximation of Nearest Neighbor Regression Function Estimates
JF  - Journal of Multivariate Analysis. 32 (1990), H. 2
Y1  - 1990
SN  - 0047-259X
SP  - 213
EP  - 229
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
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  - https://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  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Semi-parametric random censorship models
JF  - From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute
Y1  - 2017
SN  - 978-3-319-50986-0
U6  - https://doi.org/10.1007/978-3-319-50986-0_3
SP  - 43
EP  - 56
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Degenring, D.
A1  - Froemmel, C.
A1  - Takors, R.
T1  - Sensitivity analysis for the reduction of complex metabolism models / Degenring, D. ; Froemmel, C. ; Dikta, G.; Takors, R.
JF  - Journal of Process Control. 14 (2004)
Y1  - 2004
SN  - 0959-1524
SP  - 729
EP  - 745
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Ghorai, J. K.
T1  - Bootstrap Approximation with Censored Data under the Proportional Hazard Model
JF  - Communications in Statistics: Theory and Methods. 19 (1990), H. 2
Y1  - 1990
SN  - 0361-0926
SP  - 573
EP  - 581
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Ghorai, Jugal
A1  - Schmidt, Christian
T1  - The Central Limit Theorem under Semiparametric Random Censorship Models
JF  - Journal of Statistical Planning and Inference. 127 (2005), H. 1
Y1  - 2005
SN  - 0378-3758
SP  - 23
EP  - 51
ER  -