Sudoku Rectangle Completion (Extended Abstract)

Mahdian, Mohammad; Mahmoodian, E. S.

doi:10.1016/j.endm.2015.06.101

Cited by 2 publications

(2 citation statements)

References 8 publications

(5 reference statements)

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“…This extension can provide both more precise parameter estimates and better components identification. Several researchers have presented their works on Sudoku square design, authors like, Lorch, (2009), Subramani andPonnuswamy (2009), Subramani, (2012), Ramon et al (2012), Mahdian and Mahmoodian (2015), Danbaba and Dauran (2016), Shehu and Danbaba (2018), Shehu and Danbaba (2018a) and Shehu et al (2023). This study extends the work of Shehu and Danbaba (2018), the work showed the inclusion of concomitant variable into each of the four Sudoku square models, method of least square was used to derive the estimators for sum of squares and cross products.…”

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confidence: 56%

Analysis of Covariance of Models of Sudoku Squares with no Treatment Effects on Concomitant Variable

Shehu,

Dauran,

Usman

2023

jasem

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Inclusion of concomitant variable(s) in an analysis of variance (ANOVA) model is an indication that the model is of ANCOVA model provided that there is correlation between the concomitant and response variable. This study employ numerical illustrations of the analysis of covariance of models of Sudoku square with no treatment effects on concomitant variable- Result of the illustration, showed that error variance from the ANCOVA Sudoku square models reduced 12.7761 to 5.5152 for model I; 13.6898 to 6.4690 for model II; 15.7926 to 4.8160 for model III and 16.5152 to 4.9226 for model IV respectively in which the concomitant variable had justified its inclusion in the models. The results showed that adjusted treatment effect is similar across the four ANCOVA models, the correlation coefficient for each of the ANCOVA model is highly positively and the error mean square obtained for ANCOVA models are less than the values of error mean square obtained for ANOVA models of Sudoku square.

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confidence: 56%

Analysis of Covariance of Models of Sudoku Squares with no Treatment Effects on Concomitant Variable

Shehu,

Dauran,

Usman

2023

jasem

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“…For applying Sudoku design in agricultural trials, they speculated linear models as a tool to analyze the data resulted from their design. Recently, Sudoku design may have been revealed as partial or NP-complete (nondeterministic polynomial time) (Béjar et al 2012;Mahdian and Mahmoodian 2015). Likely, Danbaba and Dauran (2016) proposed a linear model and procedure for analyzing data of partially balanced Sudoku designs.…”

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confidence: 99%

Analysis of genotype-environment interaction in fennel using Sudoku design

Almehemdi¹,

Elsahookie²,

Al-Issawi³

2020

Asian J Agric Biol

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Two trials were carried out over two locations, Ramadi and Fallujah included nine genotypes of Fennel, in order to assess the interaction between genotypes (G) and locations (E) using real data from the two experiments. The nine genotypes of fennel were randomly distributed under with Sudoku square design using type-I and model-I for combined analysis. The methodologies of this type and model solution were explained in details in the current study. Genotypes were significantly differed (P>0.01) in the first location. In the combined analysis, the genotype by location (G X E) interaction was also significant (P>0.01) which is due to the effect of the genotype. It can be concluded that Sudoku square design is suitable for selecting better genotypes as a honeycomb design and to test the multi-environment trial yield. Therefore, augmented studies should be conducted to extract the efficiency of this design using other types and models embedded in this design. How to cite this:Al-Mehemdi AF, Elsahookie MM and Al-Issawi MH, 2020. Analysis of genotypeenvironment interaction in fennel using Sudoku design. Asian J. Agric. Biol. 8(1):61-68.

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Sudoku Rectangle Completion (Extended Abstract)

Cited by 2 publications

References 8 publications

Analysis of Covariance of Models of Sudoku Squares with no Treatment Effects on Concomitant Variable

Analysis of Covariance of Models of Sudoku Squares with no Treatment Effects on Concomitant Variable

Analysis of genotype-environment interaction in fennel using Sudoku design

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