@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{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}
}
@inproceedings{HingleyDikta2019,
  author    = {Hingley, Peter and Dikta, Gerhard},
  title     = {Finding a well performing box-jenkins forecasting model for annualised patent filings counts},
  series = {International Symposium on Forecasting, Thessaloniki, Greece, June 2019},
  booktitle = {International Symposium on Forecasting, Thessaloniki, Greece, June 2019},
  pages     = {24 Folien},
  year      = {2019},
  language  = {en}
}
@book{DiktaScheer2021,
  author    = {Dikta, Gerhard and Scheer, Marsel},
  title     = {Bootstrap Methods: With Applications in R},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-73480-0},
  doi       = {10.1007/978-3-030-73480-0},
  pages     = {XVI, 256 Seiten},
  year      = {2021},
  abstract  = {This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.},
  language  = {en}
}