Leorato Samantha
Associate Professor
Scientific-Disciplinary Sector
STAT-01/A - Statistics
Scientific-Disciplinary Group/Competition Sector
13/STAT-01 - STATISTICA
Research fields and competencies
Contacts
Workplace
Office phone number
University email address
Office hours
Next office hours: Thursday 17.04 online only (send an email to request an appointment); Thursday 24.04 from 9:30 to 12:30, online only (send an email to request an appointment); Tuesday 29.04 from 10:30 to 12, Wednesday 30.04 from 14 to 15:30
Reception office
Room 32 third floor
Teaching - Programme courses
Bachelors and masters
A.Y. 2025/2026
A.Y. 2024/2025
A.Y. 2023/2024
Research
Publications
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Augmented designs to choose between constant absolute and relative errors and to estimate model parameters / C. de la Calle-Arroyo, S. Leorato, L.J. Rodríguez-Aragón, C. Tommasi. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - 261:(2025 Jun), pp. 105362.1-105362.10. [10.1016/j.chemolab.2025.105362]
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A KL-Augmented Design for the Hill Model / C. de la Calle-Arroyo, S. Leorato, C. Tommasi (ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS). - In: Methodological and Applied Statistics and Demography II / [a cura di] A. Pollice, P. Mariani. - Prima edizione. - [s.l] : Springer Nature, 2025 Mar. - ISBN 9783031643491. - pp. 465-470 (( convegno Scientific Meeting of the Italian Statistical Society tenutosi a Bari nel 2024 [10.1007/978-3-031-64350-7_78].
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Generalized spatial matrix specifications / S. Leorato, A. Martinelli. - In: ECONOMETRIC REVIEWS. - ISSN 0747-4938. - (2025), pp. 1-24. [Epub ahead of print] [10.1080/07474938.2024.2434197]
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Designing to detect heteroscedasticity in a regression model / A. Lanteri, S. Leorato, J. Lopez-Fidalgo, C. Tommasi. - In: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY. - ISSN 1369-7412. - (2023), pp. qkad004.1-qkad004.12. [Epub ahead of print] [10.1093/jrsssb/qkad004]
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Did transition to online teaching during covid-19 pandemic affect students’ performance? Evidence from a statistics course / S. Leorato. - In: STATISTICA APPLICATA. - ISSN 1125-1964. - 34:1(2022), pp. 75-95. [10.26398/IJAS.0034-003]