{"title":"当整个地块因素很重要时,一般最小低阶混淆三级分割地块设计","authors":"Tao Sun, Shengli Zhao","doi":"10.1002/cjs.11744","DOIUrl":null,"url":null,"abstract":"<p>Three-level fractional factorial split-plot (FFSP) designs with the whole plot (WP) factors being more important than the subplot factors are considered in the article. An aliased component-number pattern of type WP (WP-ACNP) is introduced for ranking such designs. The criterion of general minimum lower-order confounding of type WP (WP-GMC) is proposed based on WP-ACNP. The expressions of the key components in WP-ACNP are given via complementary sets. Some necessary conditions for FFSP designs to be WP-GMC FFSP designs are given and some three-level WP-GMC FFSP designs are constructed and tabulated.</p>","PeriodicalId":55281,"journal":{"name":"Canadian Journal of Statistics-Revue Canadienne De Statistique","volume":"51 4","pages":"1210-1231"},"PeriodicalIF":0.8000,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"General minimum lower-order confounding three-level split-plot designs when the whole plot factors are important\",\"authors\":\"Tao Sun, Shengli Zhao\",\"doi\":\"10.1002/cjs.11744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Three-level fractional factorial split-plot (FFSP) designs with the whole plot (WP) factors being more important than the subplot factors are considered in the article. An aliased component-number pattern of type WP (WP-ACNP) is introduced for ranking such designs. The criterion of general minimum lower-order confounding of type WP (WP-GMC) is proposed based on WP-ACNP. The expressions of the key components in WP-ACNP are given via complementary sets. Some necessary conditions for FFSP designs to be WP-GMC FFSP designs are given and some three-level WP-GMC FFSP designs are constructed and tabulated.</p>\",\"PeriodicalId\":55281,\"journal\":{\"name\":\"Canadian Journal of Statistics-Revue Canadienne De Statistique\",\"volume\":\"51 4\",\"pages\":\"1210-1231\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Statistics-Revue Canadienne De Statistique\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cjs.11744\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Statistics-Revue Canadienne De Statistique","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cjs.11744","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
General minimum lower-order confounding three-level split-plot designs when the whole plot factors are important
Three-level fractional factorial split-plot (FFSP) designs with the whole plot (WP) factors being more important than the subplot factors are considered in the article. An aliased component-number pattern of type WP (WP-ACNP) is introduced for ranking such designs. The criterion of general minimum lower-order confounding of type WP (WP-GMC) is proposed based on WP-ACNP. The expressions of the key components in WP-ACNP are given via complementary sets. Some necessary conditions for FFSP designs to be WP-GMC FFSP designs are given and some three-level WP-GMC FFSP designs are constructed and tabulated.
期刊介绍:
The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics.
The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.