Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada.
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Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada.
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2018 nî lūn-bûn
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2018年の論文
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2018年学术文章
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2018年学术文章
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2018年学术文章
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name
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
@en
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
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type
label
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
@en
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
@nl
prefLabel
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
@en
Assessment of autoregressive i ...... y in swine in Ontario, Canada.
@nl
P2093
P2860
P1433
P1476
Assessment of autoregressive i ...... cy in swine in Ontario, Canada
@en
P2093
Beverly McEwen
Davor Ojkic
Rob Deardon
Zvonimir Poljak
P2860
P304
P356
10.1371/JOURNAL.PONE.0198313
P407
P577
2018-06-01T00:00:00Z