44 citations · 200 across the 33 of their papers we have counts for
34 papers
The restricted minimum density power divergence estimator for non-destructive one-shot device testing the under step-stress model with exponential lifetimes
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo
One-shot devices data represent an extreme case of interval censoring.Some kind of one-shot units do not get destroyed when tested, and so, survival units can continue within the t…
Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi's pseudodistance estimators
María Jaenada, Elena Castilla, Nirian Martín +1
Since the two seminal papers by Fisher (1915, 1921) were published, the test under a fixed value correlation coefficient null hypothesis for the bivariate normal distribution const…
Empirical phi-divergence test statistics in the logistic regression model
A. Felipe, P. Garcia-Segador, N. Martin +2
In this paper we apply divergence measures to empirical likelihood applied to logistic regression models. We define a family of empirical test statistics based on divergence measur…
Robust adaptive Lasso in high-dimensional logistic regression
Ayanendranath Basu, Abhik Ghosh, María Jaenada +1
Penalized logistic regression is extremely useful for binary classification with large number of covariates (higher than the sample size), having several real life applications, in…
Estimation and testing on independent not identically distributed observations based on Rényi's pseudodistances
Elena Castilla, Maria Jaenada, Leandro Pardo
In real life we often deal with independent but not identically distributed observations (i.n.i.d.o), for which the most well-known statistical model is the multiple linear regress…
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…