三角加权卡方变量和的密度函数

IF 1 Q4 OPTICS
V. I. Egorov, B. V. Kryzhanovsky
{"title":"三角加权卡方变量和的密度函数","authors":"V. I. Egorov,&nbsp;B. V. Kryzhanovsky","doi":"10.3103/S1060992X23010071","DOIUrl":null,"url":null,"abstract":"<p>We have investigated a weighted chi-square distribution of the variable ξ which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles <span>\\({{\\varphi }_{k}} = {{2\\pi k} \\mathord{\\left/ {\\vphantom {{2\\pi k} N}} \\right. \\kern-0em} N},\\)</span> where <span>\\(k \\in \\left\\{ {0,1,...,N - 1} \\right\\}\\)</span> and <i>N</i> is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large <i>N</i>. The distribution is compared with the Gaussian distribution.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"32 1","pages":"14 - 19"},"PeriodicalIF":1.0000,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights\",\"authors\":\"V. I. Egorov,&nbsp;B. V. Kryzhanovsky\",\"doi\":\"10.3103/S1060992X23010071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We have investigated a weighted chi-square distribution of the variable ξ which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles <span>\\\\({{\\\\varphi }_{k}} = {{2\\\\pi k} \\\\mathord{\\\\left/ {\\\\vphantom {{2\\\\pi k} N}} \\\\right. \\\\kern-0em} N},\\\\)</span> where <span>\\\\(k \\\\in \\\\left\\\\{ {0,1,...,N - 1} \\\\right\\\\}\\\\)</span> and <i>N</i> is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large <i>N</i>. The distribution is compared with the Gaussian distribution.</p>\",\"PeriodicalId\":721,\"journal\":{\"name\":\"Optical Memory and Neural Networks\",\"volume\":\"32 1\",\"pages\":\"14 - 19\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Memory and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S1060992X23010071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X23010071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

摘要

我们研究了变量ξ的加权卡方分布,它是正态分布自变量的加权平方和,其权重为角度的余弦\({{\varphi }_{k}} = {{2\pi k} \mathord{\left/ {\vphantom {{2\pi k} N}} \right. \kern-0em} N},\),其中\(k \in \left\{ {0,1,...,N - 1} \right\}\)和N是自由度的数量。我们已经找到了这个分布的密度函数的精确表达式以及它在大n时的近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights

Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights

We have investigated a weighted chi-square distribution of the variable ξ which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles \({{\varphi }_{k}} = {{2\pi k} \mathord{\left/ {\vphantom {{2\pi k} N}} \right. \kern-0em} N},\) where \(k \in \left\{ {0,1,...,N - 1} \right\}\) and N is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large N. The distribution is compared with the Gaussian distribution.

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
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
×
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