斜正态/独立搜索模型下非零效应检测的搜索概率

S. Sadeghi, H. Talebi
{"title":"斜正态/独立搜索模型下非零效应检测的搜索概率","authors":"S. Sadeghi, H. Talebi","doi":"10.29252/jsri.15.1.147","DOIUrl":null,"url":null,"abstract":". Shirakura et al. (1996) has been introduced and calculated the search probability ( SP ) for normal search model. However, in practical situations the normality assumption may fail. In this study, we consider a more realistic underlying skew-normal/independent ( SNI ) model and obtain the SP . This is a general case, in a sense that the result in Shirakura et al. (1996) is its special case. The proposed SP carries some reliable properties and can be used as a design comparison criterion to compare and rank the search designs ( SD ).","PeriodicalId":422124,"journal":{"name":"Journal of Statistical Research of Iran","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Search Probability for Non-zero Effects Detection under Skew-Normal/Independent Search Model\",\"authors\":\"S. Sadeghi, H. Talebi\",\"doi\":\"10.29252/jsri.15.1.147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". Shirakura et al. (1996) has been introduced and calculated the search probability ( SP ) for normal search model. However, in practical situations the normality assumption may fail. In this study, we consider a more realistic underlying skew-normal/independent ( SNI ) model and obtain the SP . This is a general case, in a sense that the result in Shirakura et al. (1996) is its special case. The proposed SP carries some reliable properties and can be used as a design comparison criterion to compare and rank the search designs ( SD ).\",\"PeriodicalId\":422124,\"journal\":{\"name\":\"Journal of Statistical Research of Iran\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Statistical Research of Iran\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29252/jsri.15.1.147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Research of Iran","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29252/jsri.15.1.147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

。Shirakura et al.(1996)已经引入并计算了正常搜索模型的搜索概率(SP)。然而,在实际情况下,正态性假设可能会失败。在本研究中,我们考虑了一个更现实的潜在斜正态/独立(SNI)模型,并获得了SP。这是一般情况,从某种意义上说,Shirakura et al.(1996)的结果是它的特殊情况。该方法具有一定的可靠性,可作为设计比较标准,对搜索设计进行比较和排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Search Probability for Non-zero Effects Detection under Skew-Normal/Independent Search Model
. Shirakura et al. (1996) has been introduced and calculated the search probability ( SP ) for normal search model. However, in practical situations the normality assumption may fail. In this study, we consider a more realistic underlying skew-normal/independent ( SNI ) model and obtain the SP . This is a general case, in a sense that the result in Shirakura et al. (1996) is its special case. The proposed SP carries some reliable properties and can be used as a design comparison criterion to compare and rank the search designs ( SD ).
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信