广泛正交依存样本的异方差部分线性变量误差模型中估计子的强一致性率

IF 0.5 4区数学 Q4 STATISTICS & PROBABILITY

Stochastic Models Pub Date : 2024-06-02 DOI:10.1080/15326349.2024.2353062

Yi Wu, Xuejun Wang, Aiting Shen

引用次数: 0

摘要

本文提出了一些关于异方差部分线性变异误差中最小二乘估计和加权最小二乘估计的强一致性率的一般结果。

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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The rates of strong consistency for estimators in heteroscedastic partially linear errors-in-variables model for widely orthant dependent samples

In this article, some general results on the rates of strong consistency for the least squares estimators and weighted least squares estimators in heteroscedastic partially linear errors-in-variabl...

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来源期刊

Stochastic Models 数学-统计学与概率论

CiteScore

1.30

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.