44 citations · 200 across the 33 of their papers we have counts for
5 papers · 1 filter
Robust Wald-Type Tests under Random Censoring with Applications to Clinical Trial Analyses
Abhik Ghosh, Ayanendranath Basu, Leandro Pardo
Randomly censored survival data are frequently encountered in applied sciences including biomedical or reliability applications and clinical trial analyses. Testing the significanc…
Robust Wald-type tests for non-homogeneous observations based on minimum density power divergence estimator
Ayanendranath Basu, Abhik Ghosh, Nirian Martin +1
This paper considers the problem of robust hypothesis testing under non-identically distributed data. We propose Wald-type tests for both simple and composite hypothesis for indepe…
Robust Estimators and Test-Statistics for One-Shot Device Testing Under the Exponential Distribution
N. Balakrishnan, E. Castilla, N. Martin +1
This paper develops a new family of estimators, the minimum density power divergence estimators (MDPDEs), for the parameters of the one-shot device model as well as a new family of…
New robust statistical procedures for polytomous logistic regression models
E. Castilla, A. Ghosh, N. Martín +1
This paper derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polyto…
A new class of robust two-sample Wald-type tests
Abhik Ghosh, Nirian Martin, Ayanendranath Basu +1
Parametric hypothesis testing associated with two independent samples arises frequently in several applications in biology, medical sciences, epidemiology, reliability and many mor…