Modification of the Fisher's information measure to optimize a sampling design

Katarina Košmelj, P. Kalan, A. Cedilnik
{"title":"Modification of the Fisher's information measure to optimize a sampling design","authors":"Katarina Košmelj, P. Kalan, A. Cedilnik","doi":"10.1109/ITI.2002.1024658","DOIUrl":null,"url":null,"abstract":"In statistics, Fisher was the first to introduce the measure of the amount of information supplied by the data about the unknown parameter. We analyze the disadvantages of Fisher's information measure for optimization of sampling designs. To overcome this problem, we modify Fisher's information measure and we upgrade it to the multivariate setting. On a case study of soil we demonstrate the evaluation of different information measures derived from Fisher's information measure. The variables under study were the concentrations of several chemical compounds in soil (such as pH, N, C, Zn, etc.).","PeriodicalId":420216,"journal":{"name":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2002.1024658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In statistics, Fisher was the first to introduce the measure of the amount of information supplied by the data about the unknown parameter. We analyze the disadvantages of Fisher's information measure for optimization of sampling designs. To overcome this problem, we modify Fisher's information measure and we upgrade it to the multivariate setting. On a case study of soil we demonstrate the evaluation of different information measures derived from Fisher's information measure. The variables under study were the concentrations of several chemical compounds in soil (such as pH, N, C, Zn, etc.).
修正费雪信息测度以优化抽样设计
在统计学中,费雪是第一个引入关于未知参数的数据所提供的信息量的度量。分析了费雪信息测度用于优化抽样设计的缺点。为了克服这一问题,我们对Fisher的信息测度进行了修改,将其升级为多元设置。以土壤为例,论证了由费雪信息测度导出的不同信息测度的评价。研究变量为土壤中几种化合物(如pH、N、C、Zn等)的浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信