Please use this identifier to cite or link to this item:
Title: Models for estimating plot size in experiments
Keywords: Maximum curvature technique
Experimental precision
Experimental error
Coefficient of variation
Uniformity trial
Issue Date: 2018
Publisher: Universidade Federal de Lavras
Citation: MORAIS, A. R. de et al. Models for estimating plot size in experiments. Revista Brasileira de Biometria, Lavras, v. 36, n. 2, 2018.
Abstract: The use of statistical models in the estimation of experimental plot size is a practice that contributes to the experimental planning by choosing a size that allows better efficiency in the comparison of treatments. This work aimed to present some statistical models, with the purpose of using them as alternatives in determining the optimum plot size in experiments. Some nonlinear models with a simple configuration similar to that proposed by the modified maximum curvature technique were proposed, which are derivable and have a curvature function. The curvature function was obtained for each model and plot size estimators were obtained through the critical point of the curvature function derivative. The models were shown to be feasible for estimating plot sizes with simpler estimators compared to those obtained by Meier and Lessman.As an illustration, data from two uniformity tests were used for the application of the proposal and comparison with the modified method of maximum curvature. Estimates of the optimum plot size varied according to model and method
Appears in Collections:DES - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.