A nonparametric approach to assess undergraduate performance

DOI10.1111/stan.12217arXiv1810.00678OpenAlexW3029142232MaRDI QIDQ6067704

Aluísio S. Pinheiro, Samara F. Kiihl, Pranab Kumar Sen, Hildete P. Pinheiro

Publication date: 14 December 2023

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.00678

zbMATH Keywords

bootstrapnonparametric methodsdiversity measuresunion intersection principlequasi \(U\) statistics

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Statistics (62-XX) Nonparametric inference (62Gxx)

Cites Work

• Unnamed Item
• Unnamed Item
• A class of asymptotically normal degenerate quasi \(U\)-statistics
• Decomposability of high-dimensional diversity measures: quasi-\(U\)-statistics, martingales and nonstandard asymptotics
• Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance
• Binomial Mixture Modeling of University Credits
• Constrained Statistical Inference
• Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts
• Academic performance of students from entrance to graduation via quasi U-statistics: a study at a Brazilian research university
• A Class of Statistics with Asymptotically Normal Distribution

This page was built for publication: A nonparametric approach to assess undergraduate performance