Cross-validation methods in principal component analysis: a comparison G Diana, C Tommasi Statistical Methods and Applications 11 (1), 71-82, 2002 | 113 | 2002 |

Bayesian optimum designs for discriminating between models with any distribution C Tommasi, J López-Fidalgo Computational Statistics & Data Analysis 54 (1), 143-150, 2010 | 48 | 2010 |

Optimal designs for both model discrimination and parameter estimation C Tommasi Journal of Statistical Planning and Inference 139 (12), 4123-4132, 2009 | 45 | 2009 |

Optimal designs for discriminating between some extensions of the Michaelis–Menten model J López-Fidalgo, C Tommasi, PC Trandafir Journal of Statistical Planning and Inference 138 (12), 3797-3804, 2008 | 34 | 2008 |

Optimal designs for discriminating among several non-normal models C Tommasi mODa 8-Advances in Model-Oriented Design and Analysis, 213-220, 2007 | 28 | 2007 |

Estimation for finite population variance in double sampling D Giancarlo, C Tommasi Università degli Studi, Roma. Istituto di Statistica 62 (2), 223-232, 2004 | 14 | 2004 |

Optimal design to discriminate between rival copula models for a bivariate binary response L Deldossi, SA Osmetti, C Tommasi Test 28 (1), 147-165, 2019 | 11 | 2019 |

Model selection and parameter estimation in non-linear nested models: a sequential generalized DKL-optimum design C May, C Tommasi Statistica Sinica 24 (1), 63-82, 2014 | 9 | 2014 |

Max–min optimal discriminating designs for several statistical models C Tommasi, R Martín-Martín, J López-Fidalgo Statistics and Computing 26 (6), 1163-1172, 2016 | 8 | 2016 |

PKL-optimality criterion in copula models for efficacy-toxicity response L Deldossi, SA Osmetti, C Tommasi mODa 11-Advances in Model-Oriented Design and Analysis, 79-86, 2016 | 8 | 2016 |

Integral approximations for computing optimum designs in random effects logistic regression models C Tommasi, JM Rodríguez-Díaz, MT Santos-Martín Computational Statistics & Data Analysis 71, 1208-1220, 2014 | 7 | 2014 |

Optimal designs for linear models with functional responses G Aletti, C May, C Tommasi Contributions in infinite-dimensional statistics and related topics, 19-24, 2014 | 5 | 2014 |

KL-optimum designs: theoretical properties and practical computation G Aletti, C May, C Tommasi Statistics and Computing 26 (1), 107-117, 2016 | 4 | 2016 |

KL-optimum designs: theoretical properties and practical computation G Aletti, C May, C Tommasi Statistics and Computing 26 (1), 107-117, 2016 | 4 | 2016 |

Optimal use of two auxiliary variables in double sampling G Diana, C Tommasi Statistical Methods and applications 13 (3), 275-284, 2004 | 4 | 2004 |

Estimation for finite population mean under multi-phase sampling G Diana, C Tommasi, P Preo Atti della XLII Riunione Scientifica SIS, Bari, 525-528, 2004 | 4 | 2004 |

The effects of adaptation on inference for non-linear regression models with normal errors N Flournoy, C May, C Tommasi arXiv preprint arXiv:1812.03970, 2018 | 3 | 2018 |

Optimal design robust to a misspecified model C Tommasi Communications in Statistics-Simulation and Computation 41 (7), 1220-1231, 2012 | 3 | 2012 |

Construction of MV-and SMV-optimum designs for binary response models J López-Fidalgo, C Tommasi Computational statistics & data analysis 44 (3), 465-475, 2004 | 3 | 2004 |

Optimal experimental design for model selection: a partial review J López–Fidalgo, C Tommasi The Mathematics of the Uncertain, 253-263, 2018 | 2 | 2018 |