Closed-form estimators for the inverse Nakagami distribution.

IF 1.1 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Anais da Academia Brasileira de Ciencias Pub Date : 2025-03-24 eCollection Date: 2025-01-01 DOI:10.1590/0001-3765202520240838
Victor Nawa, Saralees Nadarajah
{"title":"Closed-form estimators for the inverse Nakagami distribution.","authors":"Victor Nawa, Saralees Nadarajah","doi":"10.1590/0001-3765202520240838","DOIUrl":null,"url":null,"abstract":"<p><p>The inverse Nakagami distribution due to Louzada et al. (2018) does not have closed-form maximum likelihood estimators. Closed-form estimators by adapting the method of moments are proposed in this note. Also proposed is a bias corrected version of the estimators. Large sample properties including asymptotic variances of the proposed estimators are derived. A simulation study and data applications are provided to compare the performances of the maximum likelihood estimators, the proposed estimators and their bias corrected versions.</p>","PeriodicalId":7776,"journal":{"name":"Anais da Academia Brasileira de Ciencias","volume":"97 1","pages":"e20240838"},"PeriodicalIF":1.1000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais da Academia Brasileira de Ciencias","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1590/0001-3765202520240838","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The inverse Nakagami distribution due to Louzada et al. (2018) does not have closed-form maximum likelihood estimators. Closed-form estimators by adapting the method of moments are proposed in this note. Also proposed is a bias corrected version of the estimators. Large sample properties including asymptotic variances of the proposed estimators are derived. A simulation study and data applications are provided to compare the performances of the maximum likelihood estimators, the proposed estimators and their bias corrected versions.

逆Nakagami分布的闭型估计量。
由Louzada等人(2018)得出的逆Nakagami分布没有封闭形式的最大似然估计量。本文提出了采用矩量法的闭型估计量。还提出了一种偏差修正版本的估计器。得到了包含渐近方差的大样本性质。通过仿真研究和数据应用,比较了最大似然估计器、所提估计器及其偏差修正版本的性能。
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
Anais da Academia Brasileira de Ciencias
Anais da Academia Brasileira de Ciencias 综合性期刊-综合性期刊
CiteScore
2.20
自引率
0.00%
发文量
347
审稿时长
1 months
期刊介绍: The Brazilian Academy of Sciences (BAS) publishes its journal, Annals of the Brazilian Academy of Sciences (AABC, in its Brazilianportuguese acronym ), every 3 months, being the oldest journal in Brazil with conkinuous distribukion, daking back to 1929. This scienkihic journal aims to publish the advances in scienkihic research from both Brazilian and foreigner scienkists, who work in the main research centers in the whole world, always looking for excellence. Essenkially a mulkidisciplinary journal, the AABC cover, with both reviews and original researches, the diverse areas represented in the Academy, such as Biology, Physics, Biomedical Sciences, Chemistry, Agrarian Sciences, Engineering, Mathemakics, Social, Health and Earth Sciences.
×
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