MECATTI FULVIA

Ruolo:

Professore ordinario

Settore scientifico disciplinare:

STATISTICA (SECS-S/01)

Afferenza:

E-mail:

Telefono:

0264487460

Stanza:

U7, Piano: III, Stanza: 322
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO

Orario di ricevimento:

Martedì h. 15-17 – U7 III piano studio 322 (corridoio Aula Pagani)

Conti, P., Marella, D., Mecatti, F., & Andreis, F. (2020). A unified principled framework for resampling based on pseudo-populations: Asymptotic theory. BERNOULLI, 26(2), 1044-1069. Dettaglio
Do Carmo, M., Cardozo, G., Mecatti, F., Soca, P., & Hirata, M. (2020). Number of samples for accurate visual estimation of mean herbage mass in Campos grasslands. AGRONOMY JOURNAL, 1-7. Dettaglio
Nicolussi, F., Mecatti, F., & Conti, P. (2019). A Simplified Efficient and Direct Unequal Probability Resampling. In G. Arbia, S. Peluso, A. Pini, & G. Rivellini (a cura di), Smart Statistics for Smart Applications. Book of Short Papers SIS2019 (pp. 441-448). Pearson WWW.PEARSON.COM. Dettaglio
Andreis, F., Conti, P., & Mecatti, F. (2019). On the role of weights rounding in applications of resampling based on pseudopopulations. STATISTICA NEERLANDICA, 73(2), 160-175. Dettaglio
Andreis, F., Furfaro, E., & Mecatti, F. (2018). Methodological Perspectives for Surveying Rare and Clustered Population: Towards a Sequentially Adaptive Approach. In C. Perna, M. Pratesi, & A. Ruiz-Gazen (a cura di), Studies in Theoretical and Applied Statistics (pp. 15-24). Springer. Dettaglio

Futuri studenti - Iscrizioni