Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Prus, Maryna"'
Autor:
Prus, Maryna
In the present paper we consider design criteria which depend on several designs simultaneously. We formulate equivalence theorems based on moment matrices (if criteria depend on designs via moment matrices) or with respect to the designs themselves
Externí odkaz:
http://arxiv.org/abs/2007.14971
Autor:
Prus, Maryna, Piepho, Hans-Peter
New crop varieties are extensively tested in multi-environment trials in order to obtain a solid empirical basis for recommendations to farmers. When the target population of environments is large and heterogeneous, a division into sub-regions is oft
Externí odkaz:
http://arxiv.org/abs/2004.05925
Autor:
Prus, Maryna
Publikováno v:
In Journal of Multivariate Analysis November 2023 198
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Prus, Maryna1,2 (AUTHOR) maryna.prus@uni-hohenheim.de, Filová, Lenka3 (AUTHOR)
Publikováno v:
Statistical Papers. Apr2024, Vol. 65 Issue 2, p865-886. 22p.
Autor:
Prus, Maryna
The subject of this work is two treatment groups random coefficient regression models, in which observational units receive some group-specific treatments. We provide A- and D-optimality criteria for the estimation of the fixed parameter and the pred
Externí odkaz:
http://arxiv.org/abs/1812.09514
Autor:
Prus, Maryna
We consider minimax-optimal designs for the prediction of individual parameters in random coefficient regression models. We focus on the minimax-criterion, which minimizes the "worst case" for the basic criterion with respect to the covariance matrix
Externí odkaz:
http://arxiv.org/abs/1811.03472
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Prus, Maryna
We consider optimal designs for the Kiefer cirteria, which include the E-criterion as a particular case, and the G-criterion in random coefficients regression (RCR) models. We obtain general the Kiefer criteria for approximate designs and prove the e
Externí odkaz:
http://arxiv.org/abs/1808.03993
Publikováno v:
Journal of Statistical Theory and Practice (2020) 14:24
Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expected treatment effects or group differences among all units of an upper
Externí odkaz:
http://arxiv.org/abs/1807.10083