{"title":"A Recent Study on the Graeco-Latin Square and Hyper Graeco-Latin Square Designs","authors":"W. H. Moolman","doi":"10.9734/bpi/ctmcs/v3/9087d","DOIUrl":null,"url":null,"abstract":"A Latin square model can simultaneously control two sources of nuisance variability. As an experimental design model, the Graeco-Latin square is an extension of a Latin square and can simultaneously control three sources of nuisance variability. The first mentioning of the Graeco-Latin square was in 1782. The following aspects of this model will be discussed: A brief history, estimation and ANOVA, use for the analysis of experimental data (example with R code given), model generation and a test for non-additivity. An R example of the Hyper Graeco-Latin square model, which extends the Graeco-Latin square to controlling four sources of nuisance variability, will also be discussed.","PeriodicalId":403153,"journal":{"name":"Current Topics on Mathematics and Computer Science Vol. 3","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Topics on Mathematics and Computer Science Vol. 3","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/bpi/ctmcs/v3/9087d","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A Latin square model can simultaneously control two sources of nuisance variability. As an experimental design model, the Graeco-Latin square is an extension of a Latin square and can simultaneously control three sources of nuisance variability. The first mentioning of the Graeco-Latin square was in 1782. The following aspects of this model will be discussed: A brief history, estimation and ANOVA, use for the analysis of experimental data (example with R code given), model generation and a test for non-additivity. An R example of the Hyper Graeco-Latin square model, which extends the Graeco-Latin square to controlling four sources of nuisance variability, will also be discussed.