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

Author:

Wesołowska-Janczarek Mirosława1,Różańska-Boczula Monika1

Affiliation:

1. Department of Applied Mathematics and Computer Science , University of Life Sciences in Lublin , Głęboka 28, 20-612 Lublin , Poland

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.

Publisher

Walter de Gruyter GmbH

Reference7 articles.

1. Fujikoshi Y., Rao C.R. (1991): Selection of covariables in the growth curve model. Biometrika 78(4): 779-785.

2. Fus L., Wesołowska-Janczarek M. (1998): Comparison of two growth curve models with time moving concomitant variables. Colloquium Biometricum 28: 108-115.

3. Grabiński T., Wydymus S., Zeliaś A. (1982): Metody doboru zmiennych w modelach ekonometrycznych. PWN Warszawa.

4. Hellwig Z. (1987): Elementy rachunku prawdopodobieństwa i statystyki matematycznej. PWN Warszawa.

5. Wang S.-G., Liski E., Nummi T. (1999): Two-way selection of covariables in multivariate growth curve models. Linear Algebra and its Applications 289: 333-342.

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