Sirikasemsuk, Kittiwat
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Preferred name
Sirikasemsuk, Kittiwat
Alternative Name
Sirikasemsuk, K.
Main Affiliation
Email
kittiwat.si@kmitl.ac.th
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Item type:Publication, Analysis of two-missing-observation 4 × 4 latin squares using the exact approach(2018-01-01); This research deals with the analysis of incomplete Latin square designs using the exact approach. Specifically, the study investigated the 4 × 4 Latin square designs with two missing observations without replication. In the research, the general regression significance test (i.e. the exact approach) was used to derive the estimation formulae of fitted parameters for the full and reduced linear statistical models, thereby simplifying the calculation process. In addition, the proposed exact approach-based formulae facilitate the determination of the treatment sum of squares and the error sum of squares, both of which are subsequently employed in the analysis of variance (ANOVA). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimated parameters of 6 x 6 Latin square design consisting of two missing values(2019-01-01); Thachongthumla, KanokwanA design of experiment is a computational technique which is used to select the significant independent variables. The well-designed experiments should reduce the experiment error. We referred to the blocking technique to prevent the error from other variables. This paper focused on the incomplete latin square design (ILSD) based on the blocking technique. The missing values from experiments caused the unbalance design in which the instant formulae were not provided for the analysis of the variance (ANOVA). By means of the exact approach, this paper considered the incomplete latin square design of order 6 x 6 with the two missing values to develop the mathematical formulae for the estimated parameters for full effect model. Finally, it is easy to make the ANOVA. It is noted that the mathematical formulae in this paper can be used to solve all indexes.