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@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, s.~1-5. Studies in computational intelligence (979). ISBN~978-3-030-75648-2.
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