In a long-term experiment usually the experimenter needs to know whether the effect of a treatment variesover time. But time usually has both a fixed and a random effects over the output and the difficulty in theanalysis depends on the particular design considered and the availability of covariates. Actually, as shownin the paper, the presence of covariates can be very useful to model the random effect of time. In this papera model to analyze data from a long-term strip plot design with covariates is proposed. Its effectivenesswill be tested using both simulated and real data from a crop rotation experiment.
|Numero di pagine||15|
|Rivista||Journal of Applied Statistics|
|Stato di pubblicazione||Published - 2015|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty