Optimal designs for the prediction of individual parameters in hierarchical models M Prus, R Schwabe Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2016 | 21 | 2016 |

Optimal designs for the prediction in hierarchical random coefficient regression models M Prus Universitätsbibl., 2015 | 7 | 2015 |

Computing optimal experimental designs with respect to a compound Bayes risk criterion R Harman, M Prus Statistics & Probability Letters 137, 135-141, 2018 | 5 | 2018 |

Optimal designs for individual prediction in random coefficient regression models M Prus, R Schwabe Optimal Design of Experiments-Theory and Application: Proceedings of the …, 2011 | 5 | 2011 |

Optimal designs for the prediction of individual effects in random coefficient regression M Prus, R Schwabe mODa 10–Advances in Model-Oriented Design and Analysis, 211-218, 2013 | 4 | 2013 |

Interpolation and extrapolation in random coefficient regression models: optimal design for prediction M Prus, R Schwabe mODa 11-Advances in Model-Oriented Design and Analysis, 209-216, 2016 | 3 | 2016 |

Optimal designs in multiple group random coefficient regression models M Prus TEST 29 (1), 233-254, 2020 | 2 | 2020 |

Optimal designs for minimax-criteria in random coefficient regression models M Prus Statistical Papers 60 (2), 115-128, 2019 | 2 | 2019 |

Discussion of ‘Methods for planning repeated measures accelerated degradation tests’ by Brian P. Weaver and William Q. Meeker R Schwabe, M Prus, U Graßhoff Applied Stochastic Models in Business and Industry 30 (6), 677-679, 2014 | 2 | 2014 |

Various optimality criteria for the prediction of individual response curves M Prus Statistics & Probability Letters 146, 36-41, 2019 | 1 | 2019 |

Equivalence theorems for compound design problems with application in mixed models M Prus arXiv preprint arXiv:2007.14971, 2020 | | 2020 |

Optimal Design in Hierarchical Random Effect Models for Individual Prediction with Application in Precision Medicine M Prus, N Benda, R Schwabe Journal of Statistical Theory and Practice 14, 1-12, 2020 | | 2020 |

Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing M Prus, HP Piepho arXiv preprint arXiv:2004.05925, 2020 | | 2020 |

Optimal designs for minimax-criteria in random coefficient regression models (vol 286, pg 1501, 2019) M Prus STATISTICAL PAPERS 60 (5), 1800-1800, 2019 | | 2019 |

Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models M Prus arXiv preprint arXiv:1812.09514, 2018 | | 2018 |

Optimal Design in Hierarchical Models with application in Multi-center Trials M Prus, N Benda, R Schwabe arXiv preprint arXiv:1807.10083, 2018 | | 2018 |

Optimal designs for the prediction of individual parameters in hierarchical models Series B Statistical methodology M Prus, R Schwabe | | 2016 |