116 citations · 1.2k across the 79 of their papers we have counts for
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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…
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…
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…