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Predicting Office Disciplinary Referrals Using Zero-Inflated Negative Binomial Poisson Model

Agenda Number: Poster 108

Sang Gyu (Michael) Byun and Anthony Gambino, University of Connecticut, Storrs, CT

Description:

The poster describes the use of Zero-Inflated Negative Binomial Poisson Model in predicting office disciplinary referrals. Data from 15 high schools with 15,000 students are used. Model comparison is reported.

Location:

Independence AB

Start Time:

Thursday, February 21, 2019 - 6:30pm to 8:00pm