对称与非对称平衡不完全块设计之比较分析

A. C. Kelechi
{"title":"对称与非对称平衡不完全块设计之比较分析","authors":"A. C. Kelechi","doi":"10.5923/J.STATISTICS.20120204.02","DOIUrl":null,"url":null,"abstract":"This paperdiscusses a comparat ive analysis on balanced incomp lete block designs by using the classical analysis of variance (ANOVA ) method. Fortunately, the data co llected for the analysis were in t wo groups of the balanced incomp lete-block designs (BIBD's), that is, symmetric, and unsymmetric (BIBD's). In this paper, the basic interest is to apply classical ANOVA on the two types of BIBD's and check whether they are significant and also minimizes error. A secondary data fro m N.R.C.R.I, Umud ike, Abia State was used. To ach ieve this, we shall consider treat ment (adjusted), b lock (adjusted) treatment (not adjusted) in the classical ANOVA method on the available data. Though, symmetric balanced incomp lete block design (SBIBD) and unsymmetric balanced incomp lete block design (USBIBD) are significant, it is pertinent to note that the SBIBD classical A NOVA method is found to be preferable to the USBIBD with reference to their variances at different level of significance.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"128 1","pages":"33-39"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Symmetric and Unsymmetric Balanced Incomplete Block Designs: A Comparative Analysis\",\"authors\":\"A. C. Kelechi\",\"doi\":\"10.5923/J.STATISTICS.20120204.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paperdiscusses a comparat ive analysis on balanced incomp lete block designs by using the classical analysis of variance (ANOVA ) method. Fortunately, the data co llected for the analysis were in t wo groups of the balanced incomp lete-block designs (BIBD's), that is, symmetric, and unsymmetric (BIBD's). In this paper, the basic interest is to apply classical ANOVA on the two types of BIBD's and check whether they are significant and also minimizes error. A secondary data fro m N.R.C.R.I, Umud ike, Abia State was used. To ach ieve this, we shall consider treat ment (adjusted), b lock (adjusted) treatment (not adjusted) in the classical ANOVA method on the available data. Though, symmetric balanced incomp lete block design (SBIBD) and unsymmetric balanced incomp lete block design (USBIBD) are significant, it is pertinent to note that the SBIBD classical A NOVA method is found to be preferable to the USBIBD with reference to their variances at different level of significance.\",\"PeriodicalId\":91518,\"journal\":{\"name\":\"International journal of statistics and applications\",\"volume\":\"128 1\",\"pages\":\"33-39\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of statistics and applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5923/J.STATISTICS.20120204.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of statistics and applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5923/J.STATISTICS.20120204.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文用经典的方差分析方法对平衡不完全木块设计进行了比较分析。幸运的是,为分析收集的数据属于两组平衡的不完整字母块设计(BIBD's),即对称和不对称(BIBD's)。在本文中,基本的兴趣是对两种类型的BIBD应用经典方差分析,并检查它们是否显著并最小化误差。第二组数据来自阿比亚州的n.r.c.r.i.。为了实现这一点,我们将考虑在可用数据的经典方差分析方法中处理(调整),b锁定(调整)处理(未调整)。虽然对称平衡不完整字母块设计(SBIBD)和非对称平衡不完整字母块设计(USBIBD)具有显著性,但值得注意的是,SBIBD经典A NOVA方法在不同显著性水平上的方差优于USBIBD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Symmetric and Unsymmetric Balanced Incomplete Block Designs: A Comparative Analysis
This paperdiscusses a comparat ive analysis on balanced incomp lete block designs by using the classical analysis of variance (ANOVA ) method. Fortunately, the data co llected for the analysis were in t wo groups of the balanced incomp lete-block designs (BIBD's), that is, symmetric, and unsymmetric (BIBD's). In this paper, the basic interest is to apply classical ANOVA on the two types of BIBD's and check whether they are significant and also minimizes error. A secondary data fro m N.R.C.R.I, Umud ike, Abia State was used. To ach ieve this, we shall consider treat ment (adjusted), b lock (adjusted) treatment (not adjusted) in the classical ANOVA method on the available data. Though, symmetric balanced incomp lete block design (SBIBD) and unsymmetric balanced incomp lete block design (USBIBD) are significant, it is pertinent to note that the SBIBD classical A NOVA method is found to be preferable to the USBIBD with reference to their variances at different level of significance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study of the Non-Medical Use of Pharmaceutical Drugs among Tertiary Institution Students in South-East Nigeria Another Two-Parameter Poisson –Sujatha Distribution A New Method for Generating Distributions: An Application to Flow Data Weighted Quasi Lindley Distribution with Properties and Applications Household Poverty-Risk Analysis and Prediction Using Bayesian Ordinal Probit Models
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1