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Fulvia Mecatti
Fulvia Mecatti
Verified email at unimib.it
Title
Cited by
Cited by
Year
Guidelines for surveillance of drug resistance in tuberculosis
World Health Organization
World Health Organization, 2009
4802009
A single frame multiplicity estimator for multiple frame surveys
F Mecatti
Survey methodology 33 (2), 151-157, 2007
772007
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
452013
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
452008
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
382011
Comparing recent approaches for bootstrapping sample survey data: A first step toward a unified approach
M Ranalli, F Mecatti
2012 JSM Proceedings, 2013
322013
Bootstrap algorithms for variance estimation in πPS sampling
A Barbiero, F Mecatti
Complex data modeling and computationally intensive statistical methods, 57-69, 2010
272010
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
182012
A unified principled framework for resampling based on pseudo-populations: asymptotic theory
PL Conti, D Marella, F Mecatti, F Andreis
162020
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
152014
Statistica di base. Come, quando e perché
F Mecatti
McGraw-Hill, 2010
142010
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
132004
Center sampling: A strategy for surveying difficult-to-sample populations
F Mecatti
Proceedings of Statistics Canada Symposium 2004 Innovative Methods for …, 2004
122004
Bootstrapping unequal probability samples
F Mecatti
Statistica Applicata 12 (1), 67-77, 2000
102000
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
92015
Center sampling: a strategy for elusive population surveys
F Mecatti, S Migliorati
Statistica 43 (3), 537-560, 2003
92003
Contributions to Sampling Statistics
F Mecatti, PL Conti, MG Ranalli
Springer, 2014
82014
Survival models for credit risk estimation
F Madormo, F Mecatti, S Figini
Advances in Latent Variables-Methods, Models and Applications, 2013
82013
Efficient unequal probability resampling from finite populations
PL Conti, F Mecatti, F Nicolussi
Computational Statistics & Data Analysis 167, 107366, 2022
72022
Guidelines for surveillance of drug resistance in tuberculosis
A Dean, M Zignol, F Mecatti
World Health Organization WHO Press, 2015
72015
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