On the variance estimator and its bounds in general linear models under linear restrictions

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-03-14 DOI:10.1080/03610926.2024.2328162

Zaixing Li, Changlei Liu, Menghan Yi

引用次数: 0

Abstract

In the article, the error variance estimator σ^2 and its finite sample size bounds are investigated in the framework of a general linear model under linear restrictions (gLMLR) where no distributio...

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关于线性限制下一般线性模型的方差估计器及其边界

文章在线性限制下的一般线性模型（gLMLR）框架内，研究了误差方差估计器σ^2及其有限样本量边界，在该框架内，没有分布...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.