A distribution-free method for forecasting non-gaussian time series

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Title:	A distribution-free method for forecasting non-gaussian time series
Authors:	虞國興;Yu, Gwo-hsing;Chen, H. L.;Wen, W. C.
Contributors:	淡江大學水資源及環境工程學系
Date:	2002-04
Issue Date:	2010-03-29 14:18:39 (UTC+8)
Publisher:	Springer
Abstract:	The non-linear instantaneous transformation is a method to model and forecast non-Gaussian time series. A restriction of this method is that the marginal distribution of data must be known, or a general distribution form has to be determined. A difficulty of this method is that in practice the distribution of observed data is usually unknown, and it needs to be determined by fitting the data. In this study, a distribution-free plotting position formula is applied to the non-linear instantaneous transformation method. Synthetic time series and observed data are used to illustrate the proposed method, which does not require fitting the marginal distribution of the data to be forecasted.
Relation:	Stochastic environmental research and risk assessment 16(2), pp.101-111
DOI:	10.1007/s00477-002-0087-3
Appears in Collections:	[Graduate Institute & Department of Water Resources and Environmental Engineering] Journal Article

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