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.

title = "Long-term experiments and strip plot designs",

abstract = "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.",

author = "Antonella Plaia",

year = "2015",

language = "English",

pages = "1--15",

journal = "Journal of Applied Statistics",

issn = "0266-4763",

publisher = "Routledge",

}

TY - JOUR

T1 - Long-term experiments and strip plot designs

AU - Plaia, Antonella

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.