vbrookes/Timeseries_analysis: ARIMA_TimeSeries

This repository contains the datasets and code described in the article, 'Autoregressive models applied to time-series data in veterinary science,' in Frontiers in Veterinary Science: Epidemiology and Economics, doi:10.3389/fvets.2020.00604, by the following authors: Michael P Ward 1, Rachel M Iglesias 2, Victoria J Brookes 3, 4 1 Sydney School of Veterinary Science, The University of Sydney, Camden, NSW 2570, Australia 2 Australian Government Department of Agriculture, Water and the Environment, Canberra, ACT 2500, Australia 3 School of Animal and Veterinary Sciences, Faculty of Science, Charles Sturt University, Wagga Wagga, NSW 2678, Australia 4 Graham Centre for Agricultural Innovation (NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga, NSW 2650, Australia

Related Organizations

University of Sydney
Australia
Charles Sturt University
Australia

Keywords

ARIMA Time-series

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average