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Analysing Repeated Measurements in Soil Monitoring and Experimentation by R. Webster; R. W. Payne is a Environmental Science article available to read on EtoBox.

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## Summary Field monitoring, leaching studies, and experimentation in soil biology are often now being done non‐destructively using fixed installations so that measurements are made repeatedly on the __same__ units. The resulting data for each unit (suction cup, lysimeter, incubation chamber) constitute a time series in which there may be autocorrelation. The usual methods of statistical analysis, such as the analysis of variance, must be modified or replaced by more suitable ones to take account of the possible correlation. This paper describes the split‐plot design of such experiments, shows how to assess the variance–covariance matrix of residuals for uniformity by the Greenhouse–Geisser statistic, and shows how to use this statistic to adjust the degrees of freedom in a formal test of significance. It also describes more recent methods. Ante‐dependence analysis identifies the extent of the temporal correlation in the data and provides approximate significance tests for the treatments. Alternatively, the paper also shows how the traditional analysis of variance may be replaced by a restricted maximum likelihood analysis which gives Wald statistics. The techniques are illustrated

Who reads Analysing Repeated Measurements in Soil Monitoring and Experimentation?

Author

R. Webster; R. W. Payne

Publisher

John Wiley and Sons; Wiley (Blackwell Publishing); Blackwell Publishing Inc.; Royal Astronomical Society by Blackwell Scientific Publications; Wiley (ISSN 1351-0754)

Published

2002

Language

EN

Field

Environmental Science (Physical Sciences)