Barbiero Alessandro

Associate Professor
SSD
SECS-S/01 - STATISTICS
Competition sector
13/D1 - STATISTICS

Contacts

Workplace

Via Conservatorio, 7
20122 MILANO (MI)

Office phone number
02503 21533
Additional phone numbers
0250321533
University email address
Web site
Office hours
Office hours are on Monday 10.30-12.30 and 2.30-3.30. Office hours in presence are suspended; contact me by email.
Office
Room 33, 3rd floor DEMM

Teaching

Research

Publications
  • Inducing a Target Association between Ordinal Variables by Using a Parametric Copula Family / A. Barbiero. - In: AUSTRIAN JOURNAL OF STATISTICS. - ISSN 1026-597X. - 49:4(2020 Apr 14), pp. 9-18.
  • Comparing approaches for approximating continuous random distributions with application in reliability engineering / A. Barbiero, A. Hitaj - In: IECMSA 2020[s.l] : IECMSA, 2020. - pp. 142-143 (( Intervento presentato al 9. convegno International Eurasian conference of mathematical sciences and applications tenutosi a Skopje nel 2020.
  • Goodman and Kruskal’s gamma coefficient for ordinalized bivariate distributions / A. Barbiero, A. Hitaj - In: ICPAM-Van 2020 Book of abstracts and program[s.l] : Zeynep Kayar (Van Y¨uz¨unc¨u Yıl University), 2020. - pp. 45-45 (( Intervento presentato al 3. convegno 3rd International Conference on Pure and Applied Mathematics (ICPAM-VAN 2020) tenutosi a Van (Turkey) - online nel 2020.
  • Approximation of Continuous Random Variables for the Evaluation of the Reliability Parameter of Complex Stress-Strength Models / A. Barbiero - In: Recent Advances in Data Science and Business Analytics / [a cura di] O. Kocadagli, A. Erkoc, B. Baser, N.A. Denizli,T. Ekin. - [s.l] : Mimar Sinan Fine Arts University, 2019 Dec. - ISBN 9786055005955. - pp. 89-89 (( convegno y-BIS tenutosi a Istanbul nel 2019.
  • Relationship between Kendall’s tau and Goodman and Kruskal’s gamma after ordinalizing a bivariate normal random variable / A. Barbiero - In: 13th International Conference on Computational and Financial Econometrics (CFE 2019) and 12th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2019) / [a cura di] A. Colubi, E. J. Kontoghiorghes, M. Deistler. - [s.l] : Ecosta econometrics and statistics, 2019 Nov. - ISBN 9789963222780. - pp. 47-47 (( Intervento presentato al 12. convegno Computational and Methodological Statistics tenutosi a London nel 2019.