Restricted estimators of repeated measurements model for unbalanced data

Abdel-Zahra, Sarah Abbas; AL-Mouel, Abdul Hussein Saber

doi:10.47974/JSMS-1083

Open Access Research Article

Restricted estimators of repeated measurements model for unbalanced data

^*Sarah Abbas Abdel-ZahraCorresponding authorsarhabbasabulzhra@gmail.comDepartment of MathematicsCollege of Education for Pure ScienceBasrah UniversityBasrah, IraqView full profile → , Abdul Hussein Saber AL-Mouelabdulhusseinsaber@yahoo.comDepartment of MathematicsCollege of Education for Pure ScienceBasrah UniversityBasrah, IraqView full profile →

* Corresponding author · click or hover a name for details

pp. 655–661Vol. 27Issue 3March 2024DOI: 10.47974/JSMS-1083XML

Received:: 08 Feb 2023
Published Online:: 30 Mar 2024
Article type:: Research Article
Language:: EN
Article no.:: JSMS-1083
Pages:: 655–661

Abstract

The model of one-way repeated measurements for imbalanced data, as the number of explanations are not the same at some levels, is the subject of this research. We used two methods to estimate the model parameters: the restricted maximum likelihood method and maximum likelihood approach, and we considered some of their characteristics. The Experiment’s practical research goal is to determine how the experimental elements and their interactions affect date palm productivity. The Experiment included the factor of irrigation method with three treatments: drip irrigation, basin irrigation, and the regular tidal method, while the irrigation interval factor included three treatments: 3, 6 and 9 days.

Keywords

Maximum likelihood method Restricted maximum likelihood method one-way repeated measurements model

Subject Classifications

46L5346N30

References

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