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                                       Details for article 2 of 23 found articles
 
 
  An efficient algorithm for Harrison-Stevens forecasting using the multi-process multivariate dynamic linear model
 
 
Title: An efficient algorithm for Harrison-Stevens forecasting using the multi-process multivariate dynamic linear model
Author: Bolstad, William M.
Appeared in: Communications in statistics
Paging: Volume 15 (1986) nr. 3 pages 819-828
Year: 1986
Contents: This paper develops a computationally efficient algorithm for Harrison-Stevens forecasting in a multivariate time series which has correlated errors. The algorithm uses the observation vector one component at a time on the multiprocess multivariate dynamic linear model. This gives a computationally efficient, robust, quick adapting forecasting method for non stationary multivariate time series.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 23 found articles
 
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