9781486303250 (ISBN)
http://nla.gov.au/nla.obj-2968723616
Rennie, Susan J & Curtis, Mark Phillip & Peter, Justin R & Seed, Alan & Steinle, Peter J & Australia. Bureau of Meteorology & Centre for Australian Weather and Climate Research, issuing body & CSIRO. (2014). Training the Ancilla Naïve Bayes classification system to provide quality control for weather radar data Retrieved June 5, 2023, from http://nla.gov.au/nla.obj-2968723616
Rennie, Susan J, Curtis, Mark Phillip, Peter, Justin R, Seed, Alan, Steinle, Peter J, Australia. Bureau of Meteorology, Centre for Australian Weather and Climate Research, issuing body and CSIRO. Training the Ancilla Naïve Bayes classification system to provide quality control for weather radar data Melbourne, Victoria: Centre for Australian Weather and Climate Research, 2014. Web. 5 June 2023 <http://nla.gov.au/nla.obj-2968723616>
Rennie, Susan J & Curtis, Mark Phillip & Peter, Justin R & Seed, Alan & Steinle, Peter J & Australia. Bureau of Meteorology & Centre for Australian Weather and Climate Research, issuing body & CSIRO. 2014, Training the Ancilla Naïve Bayes classification system to provide quality control for weather radar data Centre for Australian Weather and Climate Research, Melbourne, Victoria viewed 5 June 2023 http://nla.gov.au/nla.obj-2968723616
{{Citation
| author1=Rennie, Susan J.
| author2=Curtis, Mark Phillip.
| author3=Peter, Justin R.
| author4=Seed, Alan.
| author5=Steinle, Peter J.
| author6=Australia. Bureau of Meteorology.
| author7=Centre for Australian Weather and Climate Research, issuing body.
| author8=CSIRO.
| title=Training the Ancilla Naïve Bayes classification system to provide quality control for weather radar data
| year=2014
| section=1 online resource (vi, 76 pages) : colour illustrations, 1 map, colour charts.
| isbn=9781486303250
| series=CAWCR technical report (Online) ;
| location=Melbourne, Victoria
| publisher=Centre for Australian Weather and Climate Research
| url=http://nla.gov.au/nla.obj-2968723616
| id=nla.obj-2968723616
| access-date=5 June 2023
| via=Trove
}}
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