One missing value problem in Latin square design of any order: Exact analysis of variance

This research proposes a simplified exact approach based on the general linear model for solving the K × K Latin square design (LSD) with one replicate and one missing value, given the lack of ready-made mathematical formulas for the sub-variance. Under the proposed scheme, the effects of the potent...

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Main Authors: Kittiwat Sirikasemsuk, Kanogkan Leerojanaprapa
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2017.1411222
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author Kittiwat Sirikasemsuk
Kanogkan Leerojanaprapa
author_facet Kittiwat Sirikasemsuk
Kanogkan Leerojanaprapa
author_sort Kittiwat Sirikasemsuk
collection DOAJ
description This research proposes a simplified exact approach based on the general linear model for solving the K × K Latin square design (LSD) with one replicate and one missing value, given the lack of ready-made mathematical formulas for the sub-variance. Under the proposed scheme, the effects of the potential variable were determined by means of the regression sums of squares under the full and reduced treatment models. The mathematical expressions could be applied to the LSD with one missing value of any order. Moreover, the treatment, row and column sums of squares are unbiased.
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spelling doaj.art-01430f4c6bf84b1c9d4151e47afba03c2023-09-03T06:54:24ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.14112221411222One missing value problem in Latin square design of any order: Exact analysis of varianceKittiwat Sirikasemsuk0Kanogkan Leerojanaprapa1King Mongkut’s Institute of Technology LadkrabangKing Mongkut’s Institute of Technology LadkrabangThis research proposes a simplified exact approach based on the general linear model for solving the K × K Latin square design (LSD) with one replicate and one missing value, given the lack of ready-made mathematical formulas for the sub-variance. Under the proposed scheme, the effects of the potential variable were determined by means of the regression sums of squares under the full and reduced treatment models. The mathematical expressions could be applied to the LSD with one missing value of any order. Moreover, the treatment, row and column sums of squares are unbiased.http://dx.doi.org/10.1080/23311916.2017.1411222experimental designincomplete latin squareanovageneral linear model
spellingShingle Kittiwat Sirikasemsuk
Kanogkan Leerojanaprapa
One missing value problem in Latin square design of any order: Exact analysis of variance
Cogent Engineering
experimental design
incomplete latin square
anova
general linear model
title One missing value problem in Latin square design of any order: Exact analysis of variance
title_full One missing value problem in Latin square design of any order: Exact analysis of variance
title_fullStr One missing value problem in Latin square design of any order: Exact analysis of variance
title_full_unstemmed One missing value problem in Latin square design of any order: Exact analysis of variance
title_short One missing value problem in Latin square design of any order: Exact analysis of variance
title_sort one missing value problem in latin square design of any order exact analysis of variance
topic experimental design
incomplete latin square
anova
general linear model
url http://dx.doi.org/10.1080/23311916.2017.1411222
work_keys_str_mv AT kittiwatsirikasemsuk onemissingvalueprobleminlatinsquaredesignofanyorderexactanalysisofvariance
AT kanogkanleerojanaprapa onemissingvalueprobleminlatinsquaredesignofanyorderexactanalysisofvariance