Outlier Detection in Classification Analysis: An Overview

A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis.

Different Approaches for Outlier Detection in Life Testing Scenarios

ADDITIONAL EXTREME DISTRIBUTION FOR MODELING EXTREME VALUE DATA

Robust Estimation for Beta Regression Model in the Presence of Outliers: A Comparative Study

.Efficiency of regression models in the presences of outliers

The Performance of Robust Regression Estimators in Presence of Outliers

Testing Linearity Against Asymmetric Moving Average Models: A Bayesian Approach

Horizontal and vertical Aggregation Bias of time series with empirical study

Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes a