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Multiple Time Series

Multiple Time Series <jats:title>Abstract</jats:title> <jats:p>In medical investigations, it is not uncommon to record observations on two or more time series. For example, blood pressure and weight may be regularly monitored on a sample of patients. The individual time series may be analyzed by methods appropriate for univariate series, but this article concentrates on methods of analysis that help in understanding the system that gives rise to the data.</jats:p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Encyclopedia of Biostatistics CrossRef

Multiple Time Series

Encyclopedia of BiostatisticsFeb 15, 2005

Multiple Time Series


Abstract

<jats:title>Abstract</jats:title>
<jats:p>In medical investigations, it is not uncommon to record observations on two or more time series. For example, blood pressure and weight may be regularly monitored on a sample of patients. The individual time series may be analyzed by methods appropriate for univariate series, but this article concentrates on methods of analysis that help in understanding the system that gives rise to the data.</jats:p>

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References (23)

Publisher
CrossRef
DOI
10.1002/0470011815.b2a12044
Publisher site
See Article on Publisher Site

Abstract

<jats:title>Abstract</jats:title> <jats:p>In medical investigations, it is not uncommon to record observations on two or more time series. For example, blood pressure and weight may be regularly monitored on a sample of patients. The individual time series may be analyzed by methods appropriate for univariate series, but this article concentrates on methods of analysis that help in understanding the system that gives rise to the data.</jats:p>

Journal

Encyclopedia of BiostatisticsCrossRef

Published: Feb 15, 2005

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