Adapting Hellwig’s method for selecting concomitant variables under a certain growth curve model
Abstract
This paper presents an application of Hellwig’s method for selecting concomitant variables under a growth curve model, where the values of the concomitant variables change over time and are the same for all experimental units. The authors present a simple adaptation of the growth curve model to the multiple regression model for which Hellwig’s method applies. The theoretical considerations are applied to the selection of significant concomitant variables for raspberry fruiting.
Language: English
Page range: 139 - 146
Published on: Dec 14, 2018
Published by: Polish Biometric Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2018 Mirosława Wesołowska-Janczarek, Monika Różańska-Boczula, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.