@unpublished{LieroLiero2006,
  author    = {Liero, Hannelore and Liero, Matthias},
  title     = {Testing the acceleration function in life time models},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49405},
  year      = {2006},
  abstract  = {The accelerated life time model is considered. First, test procedures for testing the parameter of a parametric acceleration function is investigated; this is done under the assumption of parametric and nonparametric baseline distribution. Further, based on nonparametric estimators for regression functions tests are proposed for checking whether a parametric acceleration function is appropriate to model the influence of the covariates. Resampling procedures are discussed for the realization of these methods. Simulations complete the considerations.},
  language  = {en}
}
@book{Liero2003,
  author    = {Liero, Hannelore},
  title     = {Goodness of fit tests of L2-Type},
  series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Arbeitsgruppe Partiell},
  journal   = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Arbeitsgruppe Partiell},
  publisher = {Univ.},
  address   = {Potsdam},
  issn      = {1437-739X},
  pages     = {20 S.},
  year      = {2003},
  language  = {en}
}
@book{Liero2003,
  author    = {Liero, Hannelore},
  title     = {Testing the hazard rate part 1},
  series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Arbeitsgruppe Partiell},
  journal   = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Arbeitsgruppe Partiell},
  publisher = {Univ.},
  address   = {Potsdam},
  issn      = {1437-739X},
  pages     = {19 S.},
  year      = {2003},
  language  = {en}
}
@unpublished{LaeuterLiero2004,
  author    = {L{\"a}uter, Henning and Liero, Hannelore},
  title     = {Nonparametric estimation and testing in survival models},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-51586},
  year      = {2004},
  abstract  = {The aim of this paper is to demonstrate that nonparametric smoothing methods for estimating functions can be an useful tool in the analysis of life time data. After stating some basic notations we will present a data example. Applying standard parametric methods to these data we will see that this approach fails - basic features of the underlying functions are not reflected by their estimates. Our proposal is to use nonparametric estimation methods. These methods are explained in section 2. Nonparametric approaches are better in the sense that they are more flexible, and misspecifications of the model are avoided. But, parametric models have the advantage that the parameters can be interpreted. So, finally, we will formulate a test procedure to check whether a parametric or a nonparametric model is appropriate.},
  language  = {en}
}
@unpublished{Liero2006,
  author    = {Liero, Hannelore},
  title     = {A Note on : testing the Copula Based on Densities},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49393},
  year      = {2006},
  abstract  = {We consider the problem of testing whether the density of a mul- tivariate random variable can be expressed by a prespecified copula function and the marginal densities. The proposed test procedure is based on the asymptotic normality of the properly standardized integrated squared distance between a multivariate kernel density estimator and an estimator of its expectation under the hypothesis. The test of independence is a special case of this approach.},
  language  = {en}
}
@book{Liero2010,
  author    = {Liero, Hannelore},
  title     = {Estimation and testing the effect of covariates in accelerated life time models under censoring},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-52823},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2010},
  abstract  = {The accelerated lifetime model is considered. To test the influence of the covariate we transform the model in a regression model. Since censoring is allowed this approach leads to a goodness-of-fit problem for regression functions under censoring. So nonparametric estimation of regression functions under censoring is investigated, a limit theorem for a L2-distance is stated and a test procedure is formulated. Finally a Monte Carlo procedure is proposed.},
  language  = {en}
}
@book{KonakovLaeuterLiero1995,
  author    = {Konakov, Valentin S. and L{\"a}uter, Henning and Liero, Hannelore},
  title     = {Nonparametric versus parametric goodness of fit},
  series = {Discussion Paper / Humboldt-Universit{\"a}t zu Berlin, Institut f{\"u}r Mathematik, SFB 373},
  volume    = {49},
  journal   = {Discussion Paper / Humboldt-Universit{\"a}t zu Berlin, Institut f{\"u}r Mathematik, SFB 373},
  address   = {Berlin},
  year      = {1995},
  language  = {en}
}
@book{Liero2010,
  author    = {Liero, Hannelore},
  title     = {Estimation and testing the effect of covariates in accelerated life time models under censoring},
  series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Mathematische Statistik un},
  journal   = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik, Mathematische Statistik un},
  publisher = {Univ.},
  address   = {Potsdam},
  issn      = {1613-3307},
  pages     = {16 S.},
  year      = {2010},
  language  = {en}
}
@book{LaeuterLiero1996,
  author    = {L{\"a}uter, Henning and Liero, Hannelore},
  title     = {Ill-posed inverse problems},
  series = {Discussion Paper / Humboldt-Universit{\"a}t zu Berlin, Institut f{\"u}r Mathematik, SFB 373},
  journal   = {Discussion Paper / Humboldt-Universit{\"a}t zu Berlin, Institut f{\"u}r Mathematik, SFB 373},
  address   = {Berlin},
  year      = {1996},
  language  = {en}
}
@article{Liero1996,
  author    = {Liero, Hannelore},
  title     = {Nonparametric versus parametric goodness of fit},
  year      = {1996},
  language  = {en}
}