1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- S.N. Bose National Centre for Basic SciencesIN60 papers
- Saha Institute of Nuclear PhysicsIN55 papers
- Indian Statistical Institute, Bangalore CentreIN51 papers
- Jadavpur UniversityIN41 papers
- University of CalcuttaIN39 papers
- Indian Institute of Science BangaloreIN35 papers
- Institute of Mathematical SciencesIN34 papers
- Indian Institute of Technology MadrasIN28 papers
- Bose InstituteIN27 papers
- Centre National de la Recherche ScientifiqueFR26 papers
- Indian Statistical Institute, Delhi CentreIN20 papers
- Tata Institute of Fundamental ResearchIN20 papers
9 papers · 2 filters
Robust and Efficient Parameter Estimation based on Censored Data with Stochastic Covariates
Abhik Ghosh, Ayanendranath Basu
Analysis of random censored life-time data along with some related stochastic covariables is of great importance in many applied sciences like medical research, population studies…
The Minimum S-Divergence Estimator under Continuous Models: The Basu-Lindsay Approach
Abhik Ghosh, Ayanendranath Basu
Robust inference based on the minimization of statistical divergences has proved to be a useful alternative to the classical maximum likelihood based techniques. Recently Ghosh et…
Comparison of multivariate distributions using quantile-quantile plots and related tests
Subhra Sankar Dhar, Biman Chakraborty, Probal Chaudhuri
The univariate quantile-quantile (Q-Q) plot is a well-known graphical tool for examining whether two data sets are generated from the same distribution or not. It is also used to d…
The Logarithmic Super Divergence and Statistical Inference : Asymptotic Properties
Avijit Maji, Abhik Ghosh, Ayanendranath Basu
Statistical inference based on divergence measures have a long history. Recently, Maji, Ghosh and Basu (2014) have introduced a general family of divergences called the logarithmic…
Influence Analysis of Robust Wald-type Tests
Abhik Ghosh, Abhijit Mandal, Nirian Martin +1
We consider a robust version of the classical Wald test statistics for testing simple and composite null hypotheses for general parametric models. These test statistics are based o…
Optimal Design Measures under Asymmetric Errors, with Application to Binary Design Points
Mausumi Bose, Rahul Mukerjee
We study the optimal design problem under second-order least squares estimation which is known to outperform ordinary least squares estimation when the error distribution is asymme…
On the Robustness of a Divergence based Test of Simple Statistical Hypotheses
Abhik Ghosh, Ayanendranath Basu, Leandro Pardo
The most popular hypothesis testing procedure, the likelihood ratio test, is known to be highly non-robust in many real situations. Basu et al. (2013a) provided an alternative robu…
Influence Function Analysis of the Restricted Minimum Divergence Estimators : A General Form
Abhik Ghosh
The minimum divergence estimators have proved to be useful tools in the area of robust inference. The robustness of such estimators are measured using the classical Influence funct…
The deepest point for distributions in infinite dimensional spaces
Anirvan Chakraborty, Probal Chaudhuri
Identification of the center of a data cloud is one of the basic problems in statistics. One popular choice for such a center is the median, and several versions of median in finit…