Další formáty:
BibTeX
LaTeX
RIS
@inbook{61541, 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 = {linear models; Arima; exponential smoothing; interrupted time series; Fourier transformation; volatility models}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Cham, Švýcarsko}, isbn = {978-3-030-75648-2}, pages = {7-33}, publisher = {Springer Nature Switzerland AG}, title = {Econometrics-selected models}, url = {https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook}, year = {2021} }
TY - CHAP ID - 61541 AU - Vrbka, Jaromír PY - 2021 TI - Econometrics-selected models VL - Studies in computational intelligence (979) PB - Springer Nature Switzerland AG CY - Cham, Švýcarsko SN - 9783030756482 KW - linear models KW - Arima KW - exponential smoothing KW - interrupted time series KW - Fourier transformation KW - volatility models UR - https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook N2 - The author says econometrics is currently a rapidly developing field of study, which concerns not only ordinary economics (macroeconomics and microeconomics), but also specialized economic areas such as financial and spatial economics. ER -
VRBKA, Jaromír. Econometrics-selected models. 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.~7-33. Studies in computational intelligence (979). ISBN~978-3-030-75648-2.
|