Il campionamento statistico G Cicchitelli, A Herzel, GE Montanari il Mulino, 1992 | 283 | 1992 |
Nonparametric model calibration estimation in survey sampling GE Montanari, MG Ranalli Journal of the American Statistical Association 100 (472), 1429-1442, 2005 | 173 | 2005 |
Post-sampling efficient QR-prediction in large-sample surveys GE Montanari International Statistical Review/Revue Internationale de Statistique, 191-202, 1987 | 120 | 1987 |
Latent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes F Bartolucci, M Lupparelli, GE Montanari The Annals of Applied Statistics, 611-636, 2009 | 76 | 2009 |
Magnetization transfer changes of grey and white matter in Parkinson's disease N Tambasco, GP Pelliccioli, P Chiarini, GE Montanari, F Leone, ... Neuroradiology 45, 224-230, 2003 | 60 | 2003 |
Characteristics of second wave nonrespondents in a panel survey G Kalton, J Lepkowski, GE Montanari, D Maligalig Proceedings of the Section on Survey Research Methods, American Statistical …, 1990 | 45 | 1990 |
On regression estimation of finite population means GE Montanari Survey Methodology 24, 69-78, 1998 | 41 | 1998 |
Three-step estimation of latent Markov models with covariates F Bartolucci, GE Montanari, S Pandolfi Computational Statistics & Data Analysis 83, 287-301, 2015 | 36 | 2015 |
Multiple and ridge model calibration for sample surveys GE Montanari, MG Ranalli Statistics Canada, 2009 | 29 | 2009 |
Dacus oleae (Gmel.) ovipositing in olive drupes (Diptera, Tephrytidae)1 M Dominici, C Pucci, GE Montanari Journal of Applied Entomology 101 (1‐5), 111-120, 1986 | 26 | 1986 |
Model‐assisted estimation of a spatial population mean G Cicchitelli, GE Montanari International Statistical Review 80 (1), 111-126, 2012 | 24 | 2012 |
Dimensionality of the latent structure and item selection via latent class multidimensional IRT models F Bartolucci, GE Montanari, S Pandolfi Psychometrika 77 (4), 782-802, 2012 | 23 | 2012 |
A hierarchical latent class model for predicting disability small area counts from survey data E Fabrizi, MG Ranalli, GE Montanari Journal of the Royal Statistical Society Series A (Statistics in Society …, 2015 | 22 | 2015 |
A new class of unbiased estimators of the variance of the systematic sample mean F Bartolucci, GE Montanari Journal of Statistical Planning and Inference 136 (4), 1512-1525, 2006 | 20 | 2006 |
Nonparametric methods in survey sampling GE Montanari, MG Ranalli New Developments in Classification and Data Analysis: Proceedings of the …, 2005 | 19 | 2005 |
On calibration methods for design based finite population inferences GE Montanari, MG Ranalli Bulletin of the International Statistical Institute 54, 60, 2003 | 14 | 2003 |
Latent ignorability and item selection for nursing home case-mix evaluation F Bartolucci, GE Montanari, S Pandolfi Journal of Classification 35, 172-193, 2018 | 12 | 2018 |
Latent variable modeling of disability in people aged 65 or more GE Montanari, MG Ranalli, P Eusebi Statistical Methods & Applications 20, 49-63, 2011 | 12 | 2011 |
Asymptotically efficient generalised regression estimators GE Montanari, MG Ranalli Journal of Official Statistics 18 (4), 577, 2002 | 12 | 2002 |
Theory & Methods: Conditioning on Auxiliary Variable Means in Finite Population Inference GE Montanari Australian & New Zealand Journal of Statistics 42 (4), 407-421, 2000 | 12 | 2000 |