Adapting Hellwig’s method for selecting concomitant variables under a certain growth curve model

M. Wesołowska-Janczarek, M. Różańska-Boczula
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Abstract

Summary 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.
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在一定的增长曲线模型下,采用Hellwig的方法选择伴随变量
本文介绍了Hellwig方法在生长曲线模型下选择伴随变量的应用,其中伴随变量的值随时间而变化,并且对所有实验单元都是相同的。作者提出了一个简单的适应增长曲线模型的多元回归模型,其中Hellwig的方法适用。理论考虑应用于树莓果实显著伴随变量的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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