A Linear Combination Test for Detecting Serial Correlation in Multivariate Samples

Abstract

This document proposes a test for detecting serial dependence among multivariate observations. The test statistic is the maximum absolute value of the lag 1 correlation obtainable from a linear combination of the observations. The authors express the statistic in terms of two eigenvalues and then obtain the asymptotic null distribution. Asymptotic power is examined for sequences of local alternatives in a multivariate normal autoregressive process. An explicit expression is obtained for the density of the limit distribution in the bivariate case. They then compare power with the likelihood ratio statistic. Additional keyword: Autocorrelation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA158179

Entities

People

  • Richard A. Johnson
  • Thore Langeland

Organizations

  • University of Wisconsin–Madison

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  • Materials and Manufacturing Processes

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  • Eigenvalues
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  • Mathematics

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  • Statistical inference.