E-LIB Suche - Ergebnisse für: Stanford, David

1

Transcriptomic Analysis Reveals That Excessive Thyroid Horm..:

Ma, Hongwei ; Stanford, David ; Freeman, Willard M..
International Journal of Molecular Sciences. 25 (2024) 13 - p. 7435 , 2024

Link: https://doi.org/10.3390/..

2

Fast-frequency response from wind generators ‒ Empirical da..:

, In: 2023 IEEE Power & Energy Society General Meeting (PESGM),

Rebello, Eldrich ; Rodgers, Marianne ; Stanford, David.. - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

High-priority expected waiting times in the delayed accumul..:

Bilodeau, Blair ; Stanford, David A.
INFOR: Information Systems and Operational Research. 60 (2022) 3 - p. 285-314 , 2022

Link: https://doi.org/10.1080/..

4

Translatomic response of retinal Müller glia to acute and c..:

Chucair-Elliott, Ana J. ; Ocañas, Sarah R. ; Pham, Kevin...
Neurobiology of Disease. 175 (2022) - p. 105931 , 2022

Link: https://doi.org/10.1016/..

5

More than power from wind: Emperical data from a wind farm ..:

, In: 2022 IEEE Power & Energy Society General Meeting (PESGM),

Rebello, Eldrich ; Rodgers, Marianne ; Stanford, David.. - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

6

The lower-class waiting time distribution in the delayed ac..:

Mojalal, Maryam ; Stanford, David A. ; Caron, Richard J.
INFOR: Information Systems and Operational Research. 58 (2019) 1 - p. 60-86 , 2019

Link: https://doi.org/10.1080/..

7

Simulated co-location of patients admitted to an inpatient ..:

Bilodeau, Blair L. ; Stanford, David A. ; Goldszmidt, Mark.
INFOR: Information Systems and Operational Research. 58 (2019) 1 - p. 109-123 , 2019

Link: https://doi.org/10.1080/..

8

Optimising key performance indicator adherence with applica..:

Li, Na ; Stanford, David A. ; Sharif, Azaz B...
European Journal of Operational Research. 272 (2019) 1 - p. 313-323 , 2019

Link: https://doi.org/10.1016/..

9

Modelling mortality and discharge of hospitalized stroke pa..:

Jones, Bruce ; McClean, Sally ; Stanford, David
Health Care Management Science. 22 (2018) 4 - p. 570-588 , 2018

Link: https://doi.org/10.1007/..

10

Nonlinear Accumulating Priority Queues with Equivalent Line..:

Li, Na ; Stanford, David A. ; Taylor, Peter.
Operations Research. 65 (2017) 6 - p. 1712-1721 , 2017

Link: https://www.jstor.org/st..

11

Multi-server accumulating priority queues with heterogeneou..:

Li, Na ; Stanford, David A.
European Journal of Operational Research. 252 (2016) 3 - p. 866-878 , 2016

Link: https://doi.org/10.1016/..

12

Perfect and nearly perfect sampling of work-conserving queu..:

Xiong, Yaofei ; Murdoch, Duncan J. ; Stanford, David A.
Queueing Systems. 80 (2015) 3 - p. 197-222 , 2015

Link: https://doi.org/10.1007/..

13

Modeling the effect of short stay units on patient admissio..:

Zonderland, Maartje E. ; Boucherie, Richard J. ; Carter, Michael W..
Operations Research for Health Care. 5 (2015) - p. 21-27 , 2015

Link: https://doi.org/10.1016/..

14

Bayesian and Bühlmann credibility for phase-type distributi..:

Hassan Zadeh, Amin ; Stanford, David A.
Scandinavian Actuarial Journal. 2016 (2014) 4 - p. 338-355 , 2014

Link: https://doi.org/10.1080/..

15

A multi-class multi-server accumulating priority queue with..:

Sharif, Azaz Bin ; Stanford, David A. ; Taylor, Peter.
Operations Research for Health Care. 3 (2014) 2 - p. 73-79 , 2014

Link: https://doi.org/10.1016/..