← Search

Data · dataset · 2020

Price Trend of Milk during COVID-19 in the United State of America: Predictions Using Time-Series Datasets

Listed in Teesside University Research Data Repository

While seasonality is an important issue for milk production, due to its inherent production characteristic, the variation in milk price of the previous month over the current month is measured.

Description

(Mn for the current month, Mn-1 is for the previous month, then ∆(M_n-M_(n-1)). Data during January 2015 and April 2020 forms the source for prediction milk price for the next four months.

The raw data is used for prediction by using ARIMA model of Python. Another model, the exponential triple smoothing (ETS) model with Excel 2019 is also used for forecasting with same datasets.The data sources are USDA and CLAL.it. CLAL.it uses USDA source as well.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/sjtvxpsvpv.120 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title