Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/21305
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Nandi, AK | - |
dc.contributor.author | Roberts, DJ | - |
dc.contributor.author | Nandi, AK | - |
dc.date.accessioned | 2020-07-29T13:51:25Z | - |
dc.date.available | 2020-02-17 | - |
dc.date.available | 2020-07-29T13:51:25Z | - |
dc.date.issued | 2020-02-17 | - |
dc.identifier.citation | Transfusion, 2020 | en_US |
dc.identifier.issn | 0041-1132 | - |
dc.identifier.issn | http://dx.doi.org/10.1111/trf.15705 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/21305 | - |
dc.language.iso | en | en_US |
dc.publisher | Wiley | en_US |
dc.title | Prediction paradigm involving time series applied to total blood issues data from England | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1111/trf.15705 | - |
dc.relation.isPartOf | Transfusion | - |
pubs.publication-status | Published | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 397.99 kB | Adobe PDF | View/Open |
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