Zobrazeno 1 - 10
of 116
pro vyhledávání: '"forecasting of time series"'
Akademický článek
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Publikováno v:
Jurnal informatika UPGRIS, Vol 7, Iss 2 (2021)
The number of positive confirmed COVID-19 cases in Indonesia continues to rise on a daily basis. A prediction model is required to examine and measure the current progression of positive verified COVID-19 instances and to anticipate these circumstanc
Externí odkaz:
https://doaj.org/article/936f605c63f2431997498af1d138b798
Akademický článek
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Publikováno v:
Journal of Economic Literature. Jun99, Vol. 37 Issue 2, p719. 2p.
Publikováno v:
Journal of Computing Research and Innovation, Vol 5, Iss 1 (2020)
The tourism industry in Malaysia has been growing significantly over the years. Tourism has been one of the major donors to Malaysia’s economy. Based on the report from the Department of Statistics, a total of domestic visitors in Malaysia wer
Externí odkaz:
https://doaj.org/article/648bf68dc349464abc5ed5e477d14e79
Publikováno v:
Cogent Economics & Finance, Vol 8, Iss 1 (2020)
We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results are more
Externí odkaz:
https://doaj.org/article/856014e32cd84697897f24dd672bb262
Publikováno v:
Economica. Nov99, Vol. 66 Issue 264, p551-554. 4p.
Publikováno v:
Tecnología y ciencias del agua, Vol 8, Iss 5, Pp 127-139 (2017)
Hernández, N., Camargo, J., Moreno, F., Plazas-Nossa, L., & Torres, A. (September-October, 2017). Arima as a tool to predict water quality using time series recorded with UV-Vis spectrometers in a constructed wetland. Water Technology and Sciences (
Externí odkaz:
https://doaj.org/article/4d322a2821c54004a0a7e3422af6f524
Autor:
Andrey Orlov
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 324, Iss 5 (2019)
The relevance of the work is caused by necessity of increasing efficiency of automatic data mining systems based on meta-learning. The main aim of the study is to design an automatic meta-learning system supporting selection of optimal algorithm for
Externí odkaz:
https://doaj.org/article/52da3d465d074767bb9086715bbda654
Autor:
Michail E. Mazurov
Publikováno v:
Статистика и экономика, Vol 0, Iss 3, Pp 153-157 (2016)
There are four main methods of forecastingfinancial time series: technical analysis,mathematical analysis, fundamental analysis, the use of neural networks. Evolution of financial time series is accompanied by bifurcations, characterizing the intern
Externí odkaz:
https://doaj.org/article/390c6a8dc8e6437e96de73ab1839bdf5