简单圆回归模型的最大加权似然估计与修剪似然估计的比较

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2020-07-24 DOI:10.22237/jmasm/1604188920

Ehab A. Mahmood, H. Midi, A. G. Hussin

引用次数: 0

摘要

利用极大似然估计器(MLE)对简单循环回归模型的未知参数进行估计。然而，它对数据集中的异常值非常敏感。提出了一种鲁棒估计模型参数的方法。

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 Comparison Between Maximum Weighted and Trimmed Likelihood Estimator of the Simple Circular Regression Model

The Maximum Likelihood Estimator (MLE) was used to estimate unknown parameters of the simple circular regression model. However, it is very sensitive to outliers in data set. A robust method to estimate model parameters is proposed.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.