Robust bias estimation for Kaplan–Meier survival estimator with jackknifing

Bias Robust Estimation of Scale

A Two-Phase Robust Estimation of Process Dispersion Using M-estimator

Parameter estimation is the first step in constructing any control chart. Most estimators of mean and dispersion are sensitive to the presence of outliers. The data may be contaminated by outliers either locally or globally. The exciting robust estimators deal only with global contamination. In this paper a robust estimator for dispersion is proposed to reduce the effect of local contamination ...

Efficiency Constrained Bias Robust Estimation of Location

A Novel ICA-based Estimator for Software Cost Estimation

One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular...

Robust Global Motion Estimation Using a Simplified M-Estimator Approach

Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classification/indexing or mosaicing. Due to the possible presence of differently moving foreground objects and other sources of distortions, robust methods such as M-estimators have to be applied. We present a simplified implementation of a robust M-estimator for global mo...