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                                       Details for article 3 of 20 found articles
 
 
  A corrected likelihood ratio statistic for the multivariate regression model with antedependent errors
 
 
Title: A corrected likelihood ratio statistic for the multivariate regression model with antedependent errors
Author: Albert, Jeffrey M.
Appeared in: Communications in statistics
Paging: Volume 21 (1992) nr. 7 pages 1823-1843
Year: 1992
Contents: This paper addresses the problem of inference for the antedependence model (Gabriel, 1961, 1962). Antedependence can be formulated as an autoregressive process of general order which is non-stationary in time. Its primary application is in the analysis of repeated measurements data, that is, data consisting of independent replicates of relatively short time series. Our focus is on testing a general linear hypothesis in the context of a multivariate regression model with multivariate normal antedependent errors. Although the relevant likelihood ratio statistic was first presented by Gabriel (1961), the distribution of this statistics has not yet been derived. We present this derivation and show how this result leads to a simple correction factor to improve the x2 approximation of the likelihood ratio statistic.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 20 found articles
 
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