activity
20142026
most citedHeuristic construction of exact experimental designs under multiple resource constraints

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Optimal allocation of trials to sub-regions in crop variety testing with multiple years and correlated genotype effects

Maryna Prus, Lenka Filová, Hans-Peter Piepho +1

Plant breeding and variety trials are usually conducted in multiple environments sampled from a defined target population of environments in order to characterize the performance o…

stat.ME2025

Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints

Lenka Filová, Pál Somogyi, Radoslav Harman

We propose a computational approach to constructing exact designs on finite design spaces that are optimal for multiresponse regression experiments under a combination of the stand…

stat.CO2021

Optimal Design of Multifactor Experiments via Grid Exploration

Radoslav Harman, Lenka Filová, Samuel Rosa

For computing efficient approximate designs of multifactor experiments, we propose a simple algorithm based on adaptive exploration of the grid of all combinations of factor levels…

stat.CO2018

Ascent with Quadratic Assistance for the Construction of Exact Experimental Designs

Lenka Filová, Radoslav Harman

In the area of statistical planning, there is a large body of theoretical knowledge and computational experience concerning so-called optimal approximate designs of experiments. Ho…

stat.CO2014★ 2 cited

Heuristic construction of exact experimental designs under multiple resource constraints

Radoslav Harman, Alena Bachratá, Lenka Filová

The aim of this paper is twofold. First, we introduce "resource constraints" as a general concept that covers many practical restrictions on experimental design. Second, for comput…