{"title":"Efficient Augmented Block Designs for Unreplicated Test Treatments Along with Replicated Controls","authors":"Rahul Mukerjee","doi":"10.1007/s13253-024-00629-7","DOIUrl":null,"url":null,"abstract":"<p>Augmented block designs for unreplicated test treatments are investigated under the <i>A</i>- and <i>MV</i>-criteria with respect to test versus test, control versus test and control versus control comparisons. We derive design-independent lower bounds on these criteria over a wide class of competing designs. These bounds are useful benchmarks and the resulting expressions for efficiencies enable objective assessment of any given design under the<i>A</i>- and <i>MV</i>-criteria. It is seen that the use of BIB designs and duals thereof as well as existing block design catalogs often leads to very high efficiencies for all three types of comparisons. Illustrative examples, including a large-scale one, are presented.</p>","PeriodicalId":56336,"journal":{"name":"Journal of Agricultural Biological and Environmental Statistics","volume":"50 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Biological and Environmental Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s13253-024-00629-7","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Augmented block designs for unreplicated test treatments are investigated under the A- and MV-criteria with respect to test versus test, control versus test and control versus control comparisons. We derive design-independent lower bounds on these criteria over a wide class of competing designs. These bounds are useful benchmarks and the resulting expressions for efficiencies enable objective assessment of any given design under theA- and MV-criteria. It is seen that the use of BIB designs and duals thereof as well as existing block design catalogs often leads to very high efficiencies for all three types of comparisons. Illustrative examples, including a large-scale one, are presented.
期刊介绍:
The Journal of Agricultural, Biological and Environmental Statistics (JABES) publishes papers that introduce new statistical methods to solve practical problems in the agricultural sciences, the biological sciences (including biotechnology), and the environmental sciences (including those dealing with natural resources). Papers that apply existing methods in a novel context are also encouraged. Interdisciplinary papers and papers that illustrate the application of new and important statistical methods using real data are strongly encouraged. The journal does not normally publish papers that have a primary focus on human genetics, human health, or medical statistics.