@book{Dikta1983,
  author    = {Dikta, Gerhard},
  title     = {Kompakte und perfekte Maße},
  year      = {1983},
  language  = {de}
}
@book{Dikta1987,
  author    = {Dikta, Gerhard},
  title     = {Beitr{\"a}ge zur nichtparametrischen Sch{\"a}tzung der Regressionsfunktion},
  pages     = {81 S.},
  year      = {1987},
  language  = {de}
}
@article{DiktaKurtzStute1989,
  author    = {Dikta, Gerhard and Kurtz, B. and Stute, W.},
  title     = {Sequential Fixed-Width Confidence Bands for Distribution Functions Under Random Censoring},
  series = {Metrika. 36 (1989)},
  journal   = {Metrika. 36 (1989)},
  isbn      = {0026-1335},
  pages     = {167 -- 176},
  year      = {1989},
  language  = {en}
}
@article{Dikta1990,
  author    = {Dikta, Gerhard},
  title     = {Bootstrap Approximation of Nearest Neighbor Regression Function Estimates},
  series = {Journal of Multivariate Analysis. 32 (1990), H. 2},
  journal   = {Journal of Multivariate Analysis. 32 (1990), H. 2},
  isbn      = {0047-259X},
  pages     = {213 -- 229},
  year      = {1990},
  language  = {en}
}
@article{DiktaGhorai1990,
  author    = {Dikta, Gerhard and Ghorai, J. K.},
  title     = {Bootstrap Approximation with Censored Data under the Proportional Hazard Model},
  series = {Communications in Statistics: Theory and Methods. 19 (1990), H. 2},
  journal   = {Communications in Statistics: Theory and Methods. 19 (1990), H. 2},
  isbn      = {0361-0926},
  pages     = {573 -- 581},
  year      = {1990},
  language  = {en}
}
@article{Dikta1995,
  author    = {Dikta, Gerhard},
  title     = {Asymptotic Normality Under the Koziol-Green Model},
  series = {Communications in Statistics: Theory and Methods. 24 (1995), H. 6},
  journal   = {Communications in Statistics: Theory and Methods. 24 (1995), H. 6},
  isbn      = {0361-0926},
  pages     = {1537 -- 1549},
  year      = {1995},
  language  = {en}
}
@article{Dikta2014,
  author    = {Dikta, Gerhard},
  title     = {Asymptotically efficient estimation under semi-parametric random censorship models},
  series = {Journal of multivariate analysis},
  volume    = {124},
  journal   = {Journal of multivariate analysis},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1095-7243 (E-Journal); 0047-259X (Print)},
  doi       = {10.1016/j.jmva.2013.10.002},
  pages     = {10 -- 24},
  year      = {2014},
  abstract  = {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.},
  language  = {en}
}
@article{DiktaKuehlheimMendoncaetal.2015,
  author    = {Dikta, Gerhard and K{\"u}hlheim, Ren{\´e} and Mendonca, Jorge and Una-Alcarez, Jacobo de},
  title     = {Asymptotic representation of presmoothed Kaplan-Meier integrals with covariates in a semiparametric censorship model},
  series = {Journal of Statistical Planning and Inference},
  volume    = {Vol. 171},
  journal   = {Journal of Statistical Planning and Inference},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0378-3758},
  doi       = {10.1016/j.jspi.2015.12.001},
  pages     = {10 -- 37},
  year      = {2015},
  language  = {en}
}
@article{DiktaReisselHarlass2016,
  author    = {Dikta, Gerhard and Reißel, Martin and Harlaß, Carsten},
  title     = {Semi-parametric survival function estimators deduced from an identifying Volterra type integral equation},
  series = {Journal of multivariate analysis},
  journal   = {Journal of multivariate analysis},
  number    = {147},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.1016/j.jmva.2016.02.008},
  pages     = {273 -- 284},
  year      = {2016},
  abstract  = {Based on an identifying Volterra type integral equation for randomly right censored observations from a lifetime distribution function F, we solve the corresponding estimating equation by an explicit and implicit Euler scheme. While the first approach results in some known estimators, the second one produces new semi-parametric and pre-smoothed Kaplan-Meier estimators which are real distribution functions rather than sub-distribution functions as the former ones are. This property of the new estimators is particular useful if one wants to estimate the expected lifetime restricted to the support of the observation time. Specifically, we focus on estimation 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. We show that some estimated linear functionals which are based on the new semi-parametric estimator are strong consistent, asymptotically normal, and efficient under SRCM. In a small simulation study, the performance of the new estimator is illustrated under moderate sample sizes. Finally, we apply the new estimator to a well-known real dataset.},
  language  = {en}
}
@article{Dikta2017,
  author    = {Dikta, Gerhard},
  title     = {Semi-parametric random censorship models},
  series = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  journal   = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-50986-0},
  doi       = {10.1007/978-3-319-50986-0_3},
  pages     = {43 -- 56},
  year      = {2017},
  language  = {en}
}