Modeling the time to dropout under phase-wise variable stress fixed cohort setup
Author:
Affiliation:
1. Department of Statistics, St. Xavier's University, Kolkata, India
2. Department of Statistics, Dibrugarh University, Dibrugarh, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2392113
Reference18 articles.
1. L. Aulck N. Velagapudi J. Blumenstock and J. West Predicting student dropout in higher education preprint (2016). Available at arXiv:1606.06364.
2. Testing hypothesis of the linear accumulation of damages;Bagdonavičius V.;Teoriya Veroyatnostei i ee Primeneniya,1978
3. A synthesis of exact inferential results for exponential step-stress models and associated optimal accelerated life-tests
4. Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods
5. M. Bogard T. Helbig G. Huff and C. James A comparison of empirical models for predicting student retention White paper. Office of Institutional Research Western Kentucky University 2011.
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