Estimating overdispersion in non-transformed scores of ANVUR’s department ranking procedure: a Beto-multinomial model

Estimating overdispersion in non-transformed scores of ANVUR's department ranking procedure: a Beto-multinomial model / Giorgio E. Montanari; Marco Doretti. - ELETTRONICO. - (2025), pp. 317-322. ( 2024 ASA Conference “Measuring and Interpreting World Changes with Statistics, Data Science and AI" Rome September 18-20, 2024).

Estimating overdispersion in non-transformed scores of ANVUR's department ranking procedure: a Beto-multinomial model

Giorgio E. Montanari;Marco Doretti
2025

Abstract

Estimating overdispersion in non-transformed scores of ANVUR’s department ranking procedure: a Beto-multinomial model
2025
Measuring and Interpreting World Changes with Statistics, Data Science and AI
2024 ASA Conference “Measuring and Interpreting World Changes with Statistics, Data Science and AI"
Rome
Giorgio E. Montanari; Marco Doretti
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1450984
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