The Comparison Between Maximum Weighted and Trimmed Likelihood Estimator of the Simple Circular Regression Model
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چکیده
منابع مشابه
Maximum Weighted Likelihood Estimator in Logistic Regression
The least weighted squares estimator is a well known technique in robust regression. Its likelihood analogy in logistic regression is the maximum weighted likelihood estimator, proposed in Vandev and Neykov (1998) and Mueller and Neykov (2003). This article mentions already proved properties, shows its inconsistency and compare it to the other estimators by an extensive simulation. Introduction...
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ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2020
ISSN: 1538-9472
DOI: 10.22237/jmasm/1604188920