ARIMA-mallien identifiointi simulointimalleissa Grayn, Kelleyn ja McIntiren menetelmällä sekä Akaiken informaatiokriteerin perusteella
Date
1980Access restrictions
This material has a restricted access due to copyright reasons. It can be read at the workstation at Jyväskylä University Library reserved for the use of archival materials: https://kirjasto.jyu.fi/collections/archival-workstation.
Copyright
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Related items
Showing items with similar title or keywords.
-
A review of second‐order blind identification methods
Pan, Yan; Matilainen, Markus; Taskinen, Sara; Nordhausen, Klaus (John Wiley & Sons, 2022)Second order source separation (SOS) is a data analysis tool which can be used for revealing hidden structures in multivariate time series data or as a tool for dimension reduction. Such methods are nowadays increasingly ... -
Detector-based visual analysis of time-series data
Wartiainen, Pekka (University of Jyväskylä, 2015) -
Myyräkuumeen ja myyrärunsauden välisen suhteen mallintaminen tila-avaruusmalleilla
Leppänen, Olli (2016) -
Prediction and interpolation of time series by state space models
Helske, Jouni (University of Jyväskylä, 2015)A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of ... -
A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine
Pasanen, Tiia‐Maria; Voutilainen, Miikka; Helske, Jouni; Högmander, Harri (Wiley-Blackwell, 2022)We develop a Bayesian spatio-temporal model to study pre-industrial grain market integration during the Finnish famine of the 1860s. Our model takes into account several problematic features often present when analysing ...