On decompositional algorithms for uniform sampling from n-spheres and n-balls R Harman, V Lacko Journal of Multivariate Analysis 101 (10), 2297-2304, 2010 | 103 | 2010 |
Nový encyklopedický slovník češtiny P Karlík, M Nekula, J Pleskalová, J Bachmannová, J Balhar, A Bičan, ... Nakladatelství Lidové noviny, 2016 | 92 | 2016 |
Computing exact D-optimal designs by mixed integer second-order cone programming G Sagnol, R Harman The Annals of Statistics 43 (5), 2198-2224, 2015 | 85 | 2015 |
Improvements on removing nonoptimal support points in D-optimum design algorithms R Harman, L Pronzato Statistics & probability letters 77 (1), 90-94, 2007 | 83 | 2007 |
A randomized exchange algorithm for computing optimal approximate designs of experiments R Harman, L Filová, P Richtárik Journal of the American Statistical Association, 2019 | 58 | 2019 |
Computing c-optimal experimental designs using the simplex method of linear programming R Harman, T Jurík Computational statistics & data analysis 53 (2), 247-254, 2008 | 48 | 2008 |
A new model for predicting the flight activity of Lobesia botrana (Lepidoptera: Tortricidae) M Amo-Salas, V Ortega-López, R Harman, A Alonso-González Crop Protection 30 (12), 1586-1593, 2011 | 40 | 2011 |
Approximate D-optimal designs of experiments on the convex hull of a finite set of information matrices R Harman, M Trnovská Mathematica Slovaca 59 (6), 693-704, 2009 | 37 | 2009 |
Computing efficient exact designs of experiments using integer quadratic programming R Harman, L Filová Computational Statistics & Data Analysis 71, 1159-1167, 2014 | 29 | 2014 |
Construction of efficient experimental designs under multiple resource constraints R Harman, A Bachratá, L Filová Applied Stochastic Models in Business and Industry 32 (1), 3-17, 2016 | 28 | 2016 |
Multiplicative methods for computing D-optimal stratified designs of experiments R Harman Journal of Statistical Planning and Inference, 2013 | 23 | 2013 |
Optimal prediction designs in finite discrete spectrum linear regression models R Harman, F Štulajter Metrika 72, 281-294, 2010 | 23 | 2010 |
Computing optimal experimental designs with respect to a compound Bayes risk criterion R Harman, M Prus Statistics & Probability Letters 137, 135-141, 2018 | 20 | 2018 |
Computing maximin efficient experimental designs using the methods of semidefinite programming L Filová, M Trnovská, R Harman Metrika 75 (5), 709-719, 2012 | 16 | 2012 |
Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects S Rosa, R Harman Statistical Papers 57, 1077-1106, 2016 | 15 | 2016 |
Optimality of equidistant sampling designs for the Brownian motion with a quadratic drift R Harman, F Štulajter Journal of Statistical Planning and Inference 141 (8), 2750-2758, 2011 | 14 | 2011 |
On greedy heuristics for computing D-efficient saturated subsets R Harman, S Rosa Operations Research Letters 48 (2), 122-129, 2020 | 13 | 2020 |
OptimalDesign: a toolbox for computing efficient designs of experiments R Harman, L Filova Comprehensive R Archive Network, 2019 | 13 | 2019 |
Barycentric algorithm for computing d-optimal size-and cost-constrained designs of experiments R Harman, E Benková Metrika 80, 201-225, 2017 | 13* | 2017 |
R Package ‘OptimalDesign’ R Harman, L Filova https://cran.r-project.org/web/packages/OptimalDesign/index.html, 2016 | 13 | 2016 |