{"title":"Some combinatorial structures in experimental design: overview, statistical models and applications","authors":"P. Valcheva, T. Oliveira","doi":"10.15406/BBIJ.2018.07.00228","DOIUrl":null,"url":null,"abstract":"Design of experiments (DOE) is an important branch of applied statistics that deals with planning, conducting of the experiment, analyzing and interpreting final results. It combines mathematical and statistical tools, which aim at constructing optimal designs to be tested. Due to the widely application during recent decades, this science is strongly spread in many areas such as optimization, process quality control as well as product performance prediction.","PeriodicalId":90455,"journal":{"name":"Biometrics & biostatistics international journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biometrics & biostatistics international journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/BBIJ.2018.07.00228","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
Design of experiments (DOE) is an important branch of applied statistics that deals with planning, conducting of the experiment, analyzing and interpreting final results. It combines mathematical and statistical tools, which aim at constructing optimal designs to be tested. Due to the widely application during recent decades, this science is strongly spread in many areas such as optimization, process quality control as well as product performance prediction.
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