The development and deployment of a model for hospital-level COVID-19 associated patient demand intervals from consistent estimators (DICE)
Linying Yang, Teng Zhang, Peter Glynn, David Scheinker
| Year of publication: |
2021
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|---|---|
| Authors: | Yang, Linying ; Zhang, Teng ; Glynn, Peter W. ; Scheinker, David |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 24.2021, 2, p. 375-401
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| Subject: | COVID-19 | Hospital-level forecast | Prediction interval | Parametric bootstrap | Moment method | Prediction bias | Coronavirus | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Bootstrap-Verfahren | Bootstrap approach | Prognose | Forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-021-09555-3 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012588645