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                                       Details for article 3 of 16 found articles
 
 
  A multiplicative seasonal growth model for multivariate time series analysis and forecasting
 
 
Title: A multiplicative seasonal growth model for multivariate time series analysis and forecasting
Author: Barbosa, Emanuel Pimentel
Sadownik, Regina
Appeared in: Communications in statistics
Paging: Volume 28 (1999) nr. 2 pages 291-308
Year: 1999
Contents: This paper is devoted to a model for analysis and forecasting of vector time series and the corresponding procedure of Bayesian sequential estimation. This model can also be viewed as a multivariate extension of the (univariate) seasonal growth multiplicative model(Harrison, 1965; Migon, 1984). The basic structure of this multivariate model consists of a locally linear trend component for each individual series and a shared multiplicative seasonal component, common to all marginal series.The procedure of sequential estimation is based on analytic approximations to obtain a conjugate analysis and represents a nonlinear extension of the algorithm presented by Barbosa and Harrison (1992). Details of the proposed procedure and its practical implementation are shown, and two numerical examples are provided.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 16 found articles
 
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