Guidelines for surveillance of drug resistance in tuberculosis World Health Organization World Health Organization, 2009 | 480 | 2009 |
A single frame multiplicity estimator for multiple frame surveys F Mecatti Survey methodology 33 (2), 151-157, 2007 | 77 | 2007 |
Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods S Floyd, C Sismanidis, N Yamada, R Daniel, J Lagahid, F Mecatti, ... Emerging themes in epidemiology 10, 1-13, 2013 | 45 | 2013 |
Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design DHFMJNK RAO, D Haziza, F Mecatti Metron 66 (1), 91-108, 2008 | 45 | 2008 |
Generalized multiplicity-adjusted Horvitz-Thompson estimation as a unified approach to multiple frame surveys AC Singh, F Mecatti Journal of official statistics 27 (4), 633-650, 2011 | 38 | 2011 |
Comparing recent approaches for bootstrapping sample survey data: A first step toward a unified approach M Ranalli, F Mecatti 2012 JSM Proceedings, 2013 | 32 | 2013 |
Bootstrap algorithms for variance estimation in πPS sampling A Barbiero, F Mecatti Complex data modeling and computationally intensive statistical methods, 57-69, 2010 | 27 | 2010 |
A special gen (d) re of statistics: Roots, development and methodological prospects of gender statistics F Mecatti, F Crippa, P Farina International Statistical Review 80 (3), 452-467, 2012 | 18 | 2012 |
A unified principled framework for resampling based on pseudo-populations: asymptotic theory PL Conti, D Marella, F Mecatti, F Andreis | 16 | 2020 |
Estimation in multiple frame surveys: a simplified and unified review using the multiplicity approach F Mecatti, AC Singh Journal de la Société Française de Statistique 155 (4), 51-69, 2014 | 15 | 2014 |
Statistica di base. Come, quando e perché F Mecatti McGraw-Hill, 2010 | 14 | 2010 |
Comparison of variance estimators under Rao-Sampford method: a simulation study D Haziza, F Mecatti, JNK Rao Proceedings of the Survey Methods Section, 3638-3643, 2004 | 13 | 2004 |
Center sampling: A strategy for surveying difficult-to-sample populations F Mecatti Proceedings of Statistics Canada Symposium 2004 Innovative Methods for …, 2004 | 12 | 2004 |
Bootstrapping unequal probability samples F Mecatti Statistica Applicata 12 (1), 67-77, 2000 | 10 | 2000 |
Bootstrapping probability-proportional-to-size samples via calibrated empirical population A Barbiero, G Manzi, F Mecatti Journal of Statistical Computation and Simulation 85 (3), 608-620, 2015 | 9 | 2015 |
Center sampling: a strategy for elusive population surveys F Mecatti, S Migliorati Statistica 43 (3), 537-560, 2003 | 9 | 2003 |
Contributions to Sampling Statistics F Mecatti, PL Conti, MG Ranalli Springer, 2014 | 8 | 2014 |
Survival models for credit risk estimation F Madormo, F Mecatti, S Figini Advances in Latent Variables-Methods, Models and Applications, 2013 | 8 | 2013 |
Efficient unequal probability resampling from finite populations PL Conti, F Mecatti, F Nicolussi Computational Statistics & Data Analysis 167, 107366, 2022 | 7 | 2022 |
Guidelines for surveillance of drug resistance in tuberculosis A Dean, M Zignol, F Mecatti World Health Organization WHO Press, 2015 | 7 | 2015 |