| 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 | 109 | 2010 |
| Nový encyklopedický slovník češtiny P Karlík, M Nekula, J Pleskalová, J Bachmannová, J Balhar, A Bičan, ... Nakladatelství Lidové noviny, 2016 | 96 | 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 | 92 | 2015 |
| Improvements on removing nonoptimal support points in D-optimum design algorithms R Harman, L Pronzato Statistics & probability letters 77 (1), 90-94, 2007 | 84 | 2007 |
| A randomized exchange algorithm for computing optimal approximate designs of experiments R Harman, L Filová, P Richtárik Journal of the American Statistical Association 115 (529), 348-361, 2020 | 62 | 2020 |
| 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 | 49 | 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 | 41 | 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 | 38 | 2009 |
| Computing efficient exact designs of experiments using integer quadratic programming R Harman, L Filová Computational Statistics & Data Analysis 71, 1159-1167, 2014 | 30 | 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 |
| Minimal efficiency of designs under the class of orthogonally invariant information criteria R Harman Metrika 60 (2), 137-153, 2004 | 27 | 2004 |
| Multiplicative methods for computing D-optimal stratified designs of experiments R Harman Journal of Statistical Planning and Inference, 2013 | 24 | 2013 |
| Computing optimal experimental designs with respect to a compound Bayes risk criterion R Harman, M Prus Statistics & Probability Letters 137, 135-141, 2018 | 23 | 2018 |
| Optimal prediction designs in finite discrete spectrum linear regression models R Harman, F Štulajter Metrika 72, 281-294, 2010 | 23 | 2010 |
| Computing maximin efficient experimental designs using the methods of semidefinite programming L Filová, M Trnovská, R Harman Metrika 75 (5), 709-719, 2012 | 17 | 2012 |
| OptimalDesign: a toolbox for computing efficient designs of experiments R Harman, L Filova Comprehensive R Archive Network, 2019 | 16 | 2019 |
| R Package ‘OptimalDesign’ R Harman, L Filova https://cran.r-project.org/web/packages/OptimalDesign/index.html, 2016 | 16 | 2016 |
| 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 | 15 | 2011 |
| On greedy heuristics for computing D-efficient saturated subsets R Harman, S Rosa Operations Research Letters 48 (2), 122-129, 2020 | 14 | 2020 |
Lenka FilovaComenius university BratislavaEmail yang diverifikasi di fmph.uniba.sk
