1 citations · 1 across the 3 of their papers we have counts for
7 papers
Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models
Amarnath Nandy, Abhik Ghosh, Ayanendranath Basu +1
The semi-parametric Cox proportional hazards regression model has been widely used for many years in several applied sciences. However, a fully parametric proportional hazards mode…
On minimum Bregman divergence inference
Soumik Purkayastha, Ayanendranath Basu
In this paper a new family of minimum divergence estimators based on the Bregman divergence is proposed. The popular density power divergence (DPD) class of estimators is a sub-cla…
On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up
Tuhin Majumder, Ayanendranath Basu, Abhik Ghosh
The ordinary Bayes estimator based on the posterior density suffers from the potential problems of non-robustness under data contamination or outliers. In this paper, we consider t…
Density Power Downweighting and Robust Inference: Some New Strategies
Saptarshi Roy, Kaustav Chakraborty, Somnath Bhadra +1
Preserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness…
Robust Inference for Skewed data in Health Sciences
Amarnath Nandy, Ayanendranath Basu, Abhik Ghosh
Health data are often not symmetric to be adequately modeled through the usual normal distributions; most of them exhibit skewed patterns. They can indeed be modeled better through…
A Robust Generalization of the Rao Test
Ayanendranath Basu, Abhik Ghosh, Nirian Martin +1
This paper presents new families of Rao-type test statistics based on the minimum density power divergence estimators which provide robust generalizations for testing simple and co…