Computing optimal experimental designs with respect to a compound Bayes risk criterion
@article{Harman2018ComputingOE, title={Computing optimal experimental designs with respect to a compound Bayes risk criterion}, author={Radoslav Harman and Maryna Prus}, journal={Statistics \& Probability Letters}, year={2018} }
6 Citations
Optimal designs for heteroscedastic regression models with two parameters
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- 2019
Optimal design problems for different criteria of optimality in case of two regression coefficients for fixed and random models with heteroscedastic errors are considered. The results obtained…
Optimal designs in multiple group random coefficient regression models
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The subject of this work is multiple group random coefficients regression models with several treatments and one control group. Such models are often used for studies with cluster randomized trials.…
Optimizing the Allocation of Trials to Sub-regions in Multi-environment Crop Variety Testing
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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…
ИСПОЛЬЗОВАНИЕ СТАТИСТИЧЕСКИХ ОЦЕНОК В ИГРЕ С ПРИРОДОЙ КАК МОДЕЛИ ИНВЕСТИРОВАНИЯ
- Economics
- 2020
A model of decision making in a game with nature with known state probabilities is proposed for the case of probabilistic uncertainty, which leads to the problem of minimizing variance as a risk assessment with a lower bound on the mathematical expectation as an assessment of efficiency.
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