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.
Nemec, A.F. Linnell. 1996. Analysis of repeated measures and time series: an introduction with forestry examples: biometrics information handbook no.6. British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development. Working Paper (FLNRORD). WP15
Topic: FLNRORD Research Program
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