A New Modified Generalized Two Parameter Estimator for linear regression model

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-08-05 DOI:10.1080/03610926.2024.2374831

Bavneet Kaur Sidhu, Manoj Kumar Tiwari, Vikas Bist, Manoj Kumar, Anurag Pathak

引用次数: 0

Abstract

The Ordinary Least Squares estimator estimates the parameter vectors in a linear regression model. However, it gives misleading results when the input variables are highly correlated, emanating the...

查看原文本刊更多论文

线性回归模型的新修正广义双参数估计器

普通最小二乘法估计器可以估计线性回归模型中的参数向量。然而，当输入变量高度相关时，它给出的结果会产生误导，从而产生...

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

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.