| Optimal designs for dose-finding studies H Dette, F Bretz, A Pepelyshev, J Pinheiro Journal of the American Statistical Association 103 (483), 1225-1237, 2008 | 170 | 2008 |
| Generalized Latin hypercube design for computer experiments H Dette, A Pepelyshev Technometrics 52 (4), 421-429, 2010 | 143 | 2010 |
| Improving updating rules in multiplicative algorithms for computing D-optimal designs H Dette, A Pepelyshev, A Zhigljavsky Computational Statistics & Data Analysis 53 (2), 312-320, 2008 | 61 | 2008 |
| Maximin efficient design of experiment for exponential regression models H Dette, IM Lopez, IMO Rodriguez, A Pepelyshev Journal of Statistical Planning and Inference 136 (12), 4397-4418, 2006 | 61 | 2006 |
| Locally D-optimal designs for exponential regression models H Dette, VB Melas, WK Wong Statistica Sinica, 789-803, 2006 | 58 | 2006 |
| Exact optimal designs for weighted least squares analysis with correlated errors H Dette, J Kunert, A Pepelyshev Statistica Sinica, 135-154, 2008 | 57 | 2008 |
| Optimal designs for a class of nonlinear regression models H Dette, VB Melas, A Pepelyshev | 52 | 2004 |
| Optimal designs for estimating individual coefficients in polynomial regression—a functional approach H Dette, VB Melas, A Pepelyshev Journal of Statistical Planning and Inference 118 (1-2), 201-219, 2004 | 50 | 2004 |
| Real-time financial surveillance via quickest change-point detection methods A Pepelyshev, AS Polunchenko arXiv preprint arXiv:1509.01570, 2015 | 45 | 2015 |
| Robust and efficient design of experiments for the Monod model H Dette, VB Melas, A Pepelyshev, N Strigul Journal of theoretical biology 234 (4), 537-550, 2005 | 45 | 2005 |
| Standardized maximin E-optimal designs for the Michaelis-Menten model H Dette, VB Melas, A Pepelyshev Statistica Sinica, 1147-1163, 2003 | 45 | 2003 |
| Statistical approaches to description of rough engineering surfaces at nano and microscales FM Borodich, A Pepelyshev, O Savencu Tribology International 103, 197-207, 2016 | 43 | 2016 |
| Optimal design for linear models with correlated observations H Dette, A Pepelyshev, A Zhigljavsky | 42 | 2013 |
| The role of the nugget term in the Gaussian process method A Pepelyshev mODa 9–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2010 | 41 | 2010 |
| Efficient design of experiments in the Monod model H Dette, VB Melas, A Pepelyshev, N Strigul Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 41 | 2003 |
| Efficient experimental designs for sigmoidal growth models H Dette, A Pepelyshev Journal of statistical planning and inference 138 (1), 2-17, 2008 | 39 | 2008 |
| Designs for estimating an extremal point of quadratic regression models in a hyperball VB Melas, A Pepelyshev, RCH Cheng Metrika 58, 193-208, 2003 | 36 | 2003 |
| New insights on permutation approach for hypothesis testing on functional data L Corain, VB Melas, A Pepelyshev, L Salmaso Advances in Data Analysis and Classification 8, 339-356, 2014 | 35 | 2014 |
| Some robust design strategies for percentile estimation in binary response models S Biedermann, H Dette, A Pepelyshev Canadian Journal of Statistics 34 (4), 603-622, 2006 | 35 | 2006 |
| A new approach to optimal design for linear models with correlated observations A Zhigljavsky, H Dette, A Pepelyshev Journal of the American Statistical Association 105 (491), 1093-1103, 2010 | 34 | 2010 |
