3 citations · 4 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
Robust semiparametric inference for polytomous logistic regression with complex survey design
Elena Castilla, Abhik Ghosh, Nirian Martin +1
Analyzing polytomous response from a complex survey scheme, like stratified or cluster sampling is very crucial in several socio-economics applications. We present a class of minim…
A Robust Wald-type Test for Testing the Equality of Two Means from Log-Normal Samples
Ayanendranath Basu, Abhijit Mandal, Nirian Martin +1
The log-normal distribution is one of the most common distributions used for modeling skewed and positive data. It frequently arises in many disciplines of science, specially in th…
Robust Wald-type test in GLM with random design based on minimum density power divergence estimators
Ayanendranath Basu, Abhik Ghosh, Abhijit Mandal +2
We consider the problem of robust inference under the generalized linear model (GLM) with stochastic covariates. We derive the properties of the minimum density power divergence es…
Pseudo minimum phi-divergence estimator for multinomial logistic regression with complex sample design
Elena Castilla, Nirian Martin, Leandro Pardo
This article develops the theoretical framework needed to study the multinomial logistic regression model for complex sample design with pseudo minimum phi-divergence estimators. T…