Form of presentation | Articles in international journals and collections |
Year of publication | 2020 |
Язык | английский |
|
Opokina Nadezhda Anatolevna, author
|
Bibliographic description in the original language |
N.A.Opokina. Prediction the Turnover of Retail Trade Using Analysis of Time Series. International Journal of Engineering Research and Technology. ISSN 0974-3154, Volume 13, Number 12 (2020), pp. 5252-5261 (Scopus) |
Annotation |
International Journal of Engineering Research and Technolog |
Keywords |
retail trade turnover, autoregression, food products,
time series, stationarity, consumer price index. |
The name of the journal |
International Journal of Engineering Research and Technolog
|
URL |
http://www.irphouse.com/ijert20/ijertv13n12_162.pdf |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=251035&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Opokina Nadezhda Anatolevna |
ru_RU |
dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2020 |
ru_RU |
dc.identifier.citation |
N.A.Opokina. Prediction the Turnover of Retail Trade Using Analysis of Time Series. International Journal of Engineering Research and Technology. ISSN 0974-3154, Volume 13, Number 12 (2020), pp. 5252-5261 (Scopus) |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=251035&p_lang=2 |
ru_RU |
dc.description.abstract |
International Journal of Engineering Research and Technolog |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
retail trade turnover |
ru_RU |
dc.subject |
autoregression |
ru_RU |
dc.subject |
food products |
ru_RU |
dc.subject |
time series |
ru_RU |
dc.subject |
stationarity |
ru_RU |
dc.subject |
consumer price index. |
ru_RU |
dc.title |
Prediction the Turnover of Retail Trade Using Analysis of Time Series |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|