DI BIASE ROSA MARIA

Rosa Maria
Di Biase
Ricercatore Legge 240/10 - tempo determinato

Office hours

  • Wednesday from 10:00 to 12:00
    Place: Online

Contacts

0577235210 [int.5210]

Teaching activities

Completion accademic year: 2025/2026

Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2023/2024

Completion accademic year: 2024/2025

Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023
Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023

Completion accademic year: 2023/2024

Course year: 3 First cycle degree (DM 270) ECONOMICS AND BANKING A.Y. 2021/2022

Completion accademic year: 2022/2023

Course year: 1 Second cycle degree (Laurea Magistrale) STATISTICS FOR SAMPLE SURVEYS A.Y. 2022/2023

Research

Ultime pubblicazioni:

  • Tranquillo, C., Mazzamuto, M.V., Santicchia, F., Bisi, F., Preatoni, D., Martinoli, A., et al. (2026). Mammals among buildings: red squirrel personality variation along an urbanization gradient. ANIMAL BEHAVIOUR, 238, 1-10 [10.1016/j.anbehav.2026.123645]. - view more
  • Di Biase, R.M., Fattorini, L., Franceschi, S., Marcelli, A., Marcheselli, M., Pisani, C. (2026). Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework. SPATIAL STATISTICS, 72 [10.1016/j.spasta.2026.100956]. - view more
  • Maria Di Biase, R., Marcheselli, M., Pisani, C. (2025). Strategies for exploiting auxiliary information and achieving spatial balance in environmental surveys. In Methodological and Applied Statistics and Demography II, SIS 2024, Short Papers, Solicited Sessions (pp.1-6). Springer. - view more
  • Di Biase, R.M., Fattorini, L., Marcelli, A. (2025). A design-based view of species richness estimation in environmental surveys. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 74(3), 884-903 [10.1093/jrsssc/qlaf005]. - view more
  • Di Biase, R.M., Marcelli, A., Corona, P., Stehman, S.V., Fattorini, L. (2025). Design-based mapping of errors in remote sensing-based land use/land cover maps. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 39(3), 1077-1090 [10.1007/s00477-025-02908-2]. - view more