找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Recent Developments in Multivariate and Random Matrix Analysis; Festschrift in Honou Thomas Holgersson,Martin Singull Book 2020 Springer Na

[复制链接]
楼主: 相持不下
发表于 2025-3-30 10:39:50 | 显示全部楼层
Spectral Analysis of Large Reflexive Generalized Inverse and Moore-Penrose Inverse Matrices,behaviour in case the population covariance matrix is not a multiple of identity. In this paper, we study the spectral properties of a reflexive generalized inverse and of the Moore-Penrose inverse of the sample covariance matrix. The obtained results are used to assess the difference in the asymptotic behaviour of their eigenvalues.
发表于 2025-3-30 16:08:23 | 显示全部楼层
Properties of BLUEs and BLUPs in Full vs. Small Linear Models with New Observations, supplemented with the new unobservable random vector .., coming from .. = .. + .., where the covariance matrix of .. is known as well as the cross-covariance matrix between .. and .. We focus on comparing the BLUEs of .. and ., and BLUPs of .. and .. under . and ..
发表于 2025-3-30 17:08:46 | 显示全部楼层
发表于 2025-3-31 00:06:23 | 显示全部楼层
发表于 2025-3-31 04:27:40 | 显示全部楼层
发表于 2025-3-31 05:36:16 | 显示全部楼层
发表于 2025-3-31 09:36:02 | 显示全部楼层
Comments on Maximum Likelihood Estimation and Projections Under Multivariate Statistical Models,the space of structured matrices. The results will be illustrated by examples of structures suitable for multivariate models with general mean, growth curve models as well as doubly multivariate models.
发表于 2025-3-31 16:45:14 | 显示全部楼层
Space Decomposition and Estimation in Multivariate Linear Models,nto tractable models that are easy to handle for estimation and testing. On the other hand, we give another space decomposition approach used for obtaining explicit estimators in multivariate linear models. Some examples on how this decomposition is performed for specific multivariate linear models are presented for both approaches.
发表于 2025-3-31 19:42:21 | 显示全部楼层
发表于 2025-4-1 01:41:02 | 显示全部楼层
Approximating Noncentral Chi-Squared to the Moments and Distribution of the Likelihood Ratio Statisbetter than earlier attempts to fit to scaled versions of asymptotic central chi-square distributions. The results enlighten the complex role of the dimension of the multivariate variable in relation to the sample size, for asymptotic likelihood ratio distribution results to hold.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-24 15:19
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表