Statistical Analysis for Correlated Paired-plot Designs

Journal of Experimental Agriculture International

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Field Value
 
Title Statistical Analysis for Correlated Paired-plot Designs
 
Creator Perecin, Dilermando
Moraes Ferraudo, Guilherme
Mathias Azania, Carlos Alberto
Regina Schiavetto, Ana
 
Description This work is aimed to evaluate different statistical analysis with a randomized complete block design for paired-plot studies of herbicide selectivity in sugarcane experiments. Two  procedures were considered: i) the construction of a t-test to assess the hypothesis of the paired-plot mean  difference to be zero in each treatment; or ii) the use  of an analysis of variance where the treated and paired  plots were considered in a split-plot model and the interaction is sliced  by treatment. By simulation with normal  bivariate  distributions, with  uniform (zero, 0.11, 0.33, 0.44, 0.67 or 0.89)  or heterogeneous correlations, the two procedures showed similar performance. The power of the tests increases as the correlation of paired-plot increases.
 
Publisher SCIENCEDOMAIN international
 
Date 2015-09-17
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://journaljeai.com/index.php/JEAI/article/view/3661
10.9734/AJEA/2015/20722
 
Source Journal of Experimental Agriculture International; 2015 - Volume 9 [Issue 6]; 1-7
2457-0591
 
Language eng
 
Relation http://journaljeai.com/index.php/JEAI/article/view/3661/6484
http://journaljeai.com/index.php/JEAI/article/view/3661/6486
 
Rights Copyright (c) 2015 © 2015 Perecin et al.; This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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