• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
The zero-and-plus/minus-one inflated extended-Poisson distribution.零膨胀和正负一膨胀扩展泊松分布。
J Appl Stat. 2023 Sep 27;51(11):2062-2089. doi: 10.1080/02664763.2023.2260570. eCollection 2024.
2
Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data.用于分析离散数据的零膨胀康威-麦克斯韦泊松分布
Int J Biostat. 2018 Jan 9;14(1):ijb-2016-0070. doi: 10.1515/ijb-2016-0070.
3
Mapping QTL controlling count traits with excess zeros and ones using a zero-and-one-inflated generalized Poisson regression model.使用零一膨胀广义泊松回归模型定位控制具有过多零值和一值的计数性状的数量性状基因座。
Biom J. 2024 Apr;66(3):e2200342. doi: 10.1002/bimj.202200342.
4
Type I multivariate zero-inflated COM-Poisson regression model.I 型多元零膨胀复合 Poisson 回归模型。
Biom J. 2022 Mar;64(3):481-505. doi: 10.1002/bimj.202000249. Epub 2021 Nov 10.
5
On some aspects of a zero-inflated overdispersed model and its applications.关于零膨胀过度分散模型的某些方面及其应用。
J Appl Stat. 2019 Jul 24;47(3):506-523. doi: 10.1080/02664763.2019.1645098. eCollection 2020.
6
Copula-based Markov zero-inflated count time series models with application.基于连接函数的马尔可夫零膨胀计数时间序列模型及其应用
J Appl Stat. 2020 Apr 3;48(5):786-803. doi: 10.1080/02664763.2020.1748581. eCollection 2021.
7
Zero-inflated Poisson model based likelihood ratio test for drug safety signal detection.基于零膨胀泊松模型的药物安全信号检测似然比检验
Stat Methods Med Res. 2017 Feb;26(1):471-488. doi: 10.1177/0962280214549590. Epub 2016 Jul 11.
8
Bayesian interval mapping of count trait loci based on zero-inflated generalized Poisson regression model.基于零膨胀广义泊松回归模型的计数性状位点的贝叶斯区间映射。
Biom J. 2020 Oct;62(6):1428-1442. doi: 10.1002/bimj.201900274. Epub 2020 May 12.
9
Modelling count data with excessive zeros: the need for class prediction in zero-inflated models and the issue of data generation in choosing between zero-inflated and generic mixture models for dental caries data.对过多零值进行计数数据分析:零膨胀模型中类别预测的必要性,以及针对龋齿数据在零膨胀模型和通用混合模型之间选择时的数据生成问题。
Stat Med. 2009 Dec 10;28(28):3539-53. doi: 10.1002/sim.3699.
10
Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros.用于具有过多零值的过度分散和相关计数数据的边缘化多级障碍模型和零膨胀模型。
Stat Med. 2014 Nov 10;33(25):4402-19. doi: 10.1002/sim.6237. Epub 2014 Jun 23.

本文引用的文献

1
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications.一种用于过度分散数据的单参数离散分布:统计和可靠性特性及其应用
J Appl Stat. 2021 Mar 30;49(10):2467-2487. doi: 10.1080/02664763.2021.1905787. eCollection 2022.
2
A new two-parameter exponentiated discrete Lindley distribution: properties, estimation and applications.一种新的双参数指数离散林德利分布:性质、估计与应用。
J Appl Stat. 2019 Jul 8;47(2):354-375. doi: 10.1080/02664763.2019.1638893. eCollection 2020.
3
The frequency distribution of the difference between two Poisson variates belonging to different populations.属于不同总体的两个泊松变量之差的频率分布。
J R Stat Soc Ser A. 1946;109(Pt 3):296.

零膨胀和正负一膨胀扩展泊松分布。

The zero-and-plus/minus-one inflated extended-Poisson distribution.

作者信息

Kachour Maher, Chesneau Christophe

机构信息

ESSCA School of Management, Lyon, France.

Laboratoire de Mathématiques Nicolas Oresme (LMNO), Université de Caen Nomandie, Caen, France.

出版信息

J Appl Stat. 2023 Sep 27;51(11):2062-2089. doi: 10.1080/02664763.2023.2260570. eCollection 2024.

DOI:10.1080/02664763.2023.2260570
PMID:39247656
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11378118/
Abstract

In this paper, we introduce a new distribution defined on , called the distribution, which can be viewed as a natural extension of the zero-and-one-inflated Poisson ( ) distribution. It is designed to fit the count data with potentially excess zeros and/or ones, and/or minus ones. We explore its various properties and investigate the estimation of the unknown parameters. Moreover, simulation experiments are carried out to attest to the performance of the estimation. Through the use of a useful data set on football scores, the applicability of the proposed distribution is examined.

摘要

在本文中,我们引入了一种定义在 上的新分布,称为 分布,它可被视为零膨胀和一膨胀泊松( )分布的自然扩展。它旨在拟合可能存在过多零值和/或一值和/或负一值的计数数据。我们探索了它的各种性质,并研究了未知参数的估计。此外,还进行了模拟实验以证明估计的性能。通过使用一个关于足球比赛比分的有用数据集,检验了所提出分布的适用性。