Analysing informal milk supply chains data to identify seasonal occurences of antibiotic residues

Naveed Aslam, Sosheel Godfrey, Mateen Abbas, Muhammad Yasin Tipu, Muhammad Ishaq, David M. McGill, Hassan Warriach, Muhammad Husnain, Peter Wynn

Research output: Book chapter/Published conference paperConference paper

Original languageEnglish
Title of host publicationStatistics for data science and policy analysis
EditorsAzizur Rahman
PublisherSpringer
Chapter10
Publication statusPublished - 2020
EventThe 2nd Applied Statistics and Policy Analysis Conference: ASPAC2019 - Charles Sturt University, Wagga Wagga, Australia
Duration: 05 Sep 201906 Sep 2019
http://csusap.csu.edu.au/~azrahman/ASPAC2019/
http://csusap.csu.edu.au/~azrahman/ASPAC2019/Program%20draft.pdf?attredirects=0&d=1 (program)
http://csusap.csu.edu.au/~azrahman/ASPAC2019/ASPAC2019_Refereed_Book%20of%20Abstracts.pdf?attredirects=0&d=1 (book of abstracts)

Conference

ConferenceThe 2nd Applied Statistics and Policy Analysis Conference
Abbreviated titleEffective policy through the use of big data, accurate estimates and modern computing tools and statistical modelling
CountryAustralia
CityWagga Wagga
Period05/09/1906/09/19
OtherProceedings due for publication May 2020 https://www.springer.com/gp/book/9789811517341
Internet address

Cite this

Aslam, N., Godfrey, S., Abbas, M., Tipu, M. Y., Ishaq, M., McGill, D. M., Warriach, H., Husnain, M., & Wynn, P. (2020). Analysing informal milk supply chains data to identify seasonal occurences of antibiotic residues. In A. Rahman (Ed.), Statistics for data science and policy analysis Springer.