Abstract
An understanding of estimable functions is essential when using an overparameterized linear model. The most attractive features of these functions are their invariance property to the solution vector and their wide range of practical applications in agricultural research. This study reviews some of the ways that estimable functions can be used by the agricultural scientist.
Keywords
Estimable function, regression coefficients, carryover, direct and permanent effects, sum-to-zero and set-to-zero restrictions
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Munyakazi, L.; Hintz, R. L.; and Selby, B. D.
(1994).
"APPLICATIONS OF ESTIMABLE FUNCTIONS IN AGRICULTURAL RESEARCH WITH SPECIAL EMPHASIS ON THE GLM PROCEDURE OF SAS.,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1365
APPLICATIONS OF ESTIMABLE FUNCTIONS IN AGRICULTURAL RESEARCH WITH SPECIAL EMPHASIS ON THE GLM PROCEDURE OF SAS.
An understanding of estimable functions is essential when using an overparameterized linear model. The most attractive features of these functions are their invariance property to the solution vector and their wide range of practical applications in agricultural research. This study reviews some of the ways that estimable functions can be used by the agricultural scientist.
