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Efficient class of tree network balanced designs for agroforestry experimentation

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Relation http://eprints.cmfri.org.in/14884/
https://www.tandfonline.com/doi/abs/10.1080/03610918.2020.1825739?journalCode=lssp20
https://doi.org/10.1080/03610918.2020.1825739
 
Title Efficient class of tree network balanced designs
for agroforestry experimentation
 
Creator Birteeb, Peter T
Varghese, Cini
Jaggi, Seema
Varghese, Eldho
Harun, Mohammed
 
Subject Statistical Designs
 
Description The use of an appropriate design is a very important aspect of agroforestry experimentation. Since different species of trees may interact spatially, plots in agroforestry could be connected through network of trees which would create non-directional adjacency effects on a plot. Hence, there is a need to take the “direct effect of trees” and “tree network effects” on the crop into account when designing an agroforestry experiment. Tree network effect refers to the influence a tree exerts on the surrounding plots as a result of adjacency of the plots. In this paper, a class of network designs incorporating effects of trees from adjacent plots has been obtained. The characterization properties of the designs have also been studied. The designs are found to be variance balanced for the estimation of direct as well as network effects of trees. They are also highly efficient designs, and hence, are recommended for agroforestry experimentation with multiple tree species and a single crop.
 
Date 2020
 
Type Article
PeerReviewed
 
Format text
 
Language en
 
Identifier http://eprints.cmfri.org.in/14884/1/Communications%20in%20Statistics%20-%20Simulation%20and%20Computation_2020_Eldho%20Varghese.pdf
Birteeb, Peter T and Varghese, Cini and Jaggi, Seema and Varghese, Eldho and Harun, Mohammed (2020) Efficient class of tree network balanced designs for agroforestry experimentation. Communications in Statistics - Simulation and Computation. pp. 1-11.