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Analysis of repeated measures and time series: an introduction with forestry examples: biometrics information handbook no.6

Author(s) or contact(s): A.F. Linnell Nemec
Source: Research Branch
Subject: Biometrics
Series: Working Paper
Other details:  Published 1996. Hardcopy is available.


Repeated measures and time-series data are common in forestry. Because such data tend to be serially correlated - that is, current measurements are correlated with past measurements - they require special methods of analysis. This handbook is an introduction to two broad classes of methods developed for this purpose: repeated-measures analysis of variance and time-series analysis. Both types of analyses are described briefly and are illustrated with forestry examples. Several procedures for the analysis of repeated measures and time series are available in the SAS/STAT and SAS/ETS libraries. Application of the REPEATED statement in PROC GLM (and PROC ANOVA) and the time-series procedures PROC AUTOREG, PROC ARIMA, and PROC FORECAST are discussed.

Download Working Paper 15 (Biometrics Information Handbook No. 6) PDF file (757 KB)

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Updated November 04, 2009