Time series and their importance to the economy

@inbook{61561,
   author = {Vrbka, Jaromír},
   address = {Cham, Švýcarsko},
   booktitle = {Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics},
   edition = {1. vyd.},
   editor = {Janusz Kacrpzyk},
   keywords = {trend; seasonility; non-linearity; conditioned heteroscedasticity},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham, Švýcarsko},
   isbn = {978-3-030-75648-2},
   pages = {1-5},
   publisher = {Springer Nature Switzerland AG},
   title = {Time series and their importance to the economy},
   url = {https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook},
   year = {2021}
}

TY  - CHAP
ID  - 61561
AU  - Vrbka, Jaromír
PY  - 2021
TI  - Time series and their importance to the economy
VL  - Studies in computational intelligence (979)
PB  - Springer Nature Switzerland AG
CY  - Cham, Švýcarsko
SN  - 9783030756482
KW  - trend
KW  - seasonility
KW  - non-linearity
KW  - conditioned heteroscedasticity
UR  - https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook
N2  - The author talk about data and says that data refer to results of everyday human activities, containing useful quantitative information, although only historical
ER  - 

VRBKA, Jaromír. Time series and their importance to the economy. In Janusz Kacrpzyk. \textit{Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics}. 1. vyd. Cham, Švýcarsko: Springer Nature Switzerland AG, 2021, p.~1-5. Studies in computational intelligence (979). ISBN~978-3-030-75648-2.