Statistical inference for unreliable grading using the maximum entropy principle.

Davis S, Loyola C, Peralta J

DOI: 10.1063/5.0106922
Published: 2022 Dec
Container: Chaos (Woodbury, N.Y.)
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1063/5.0106922,
  title = {Statistical inference for unreliable grading using the maximum entropy principle.},
  author = {Davis S and Loyola C and Peralta J},
  year = {2022},
  journal = {Chaos (Woodbury, N.Y.)},
  doi = {10.1063/5.0106922},
  url = {https://doi.org/10.1063/5.0106922}
}

RIS

TY  - JOUR
TI  - Statistical inference for unreliable grading using the maximum entropy principle.
AU  - Davis S
AU  - Loyola C
AU  - Peralta J
PY  - 2022
JO  - Chaos (Woodbury, N.Y.)
DO  - 10.1063/5.0106922
UR  - https://doi.org/10.1063/5.0106922
ER  -

APA

S, D., C, L., & J, P. (2022). Statistical inference for unreliable grading using the maximum entropy principle.. Chaos (Woodbury, N.Y.). https://doi.org/10.1063/5.0106922

Source records

pubmed · retrieved 2026-09-26T09:59:45.922Z
europe-pmc · retrieved 2026-09-26T09:59:45.949Z