activity
20162025
most citedNew robust statistical procedures for polytomous logistic regression models

21 citations · 27 across the 15 of their papers we have counts for

collaborators

15 papers

stat.ME2025

Robust copula estimation for one-shot devices with correlated failure modes

E. Castilla, P. J. Chocano

This paper presents a robust method for estimating copula models to evaluate dependence between failure modes in one-shot devices-systems designed for single use and destroyed upon…

stat.ME2024

A new robust approach for the polytomous logistic regression model based on Rényi's pseudodistances

Elena Castilla

This paper presents a robust alternative to the Maximum Likelihood Estimator (MLE) for the Polytomous Logistic Regression Model (PLRM), known as the family of minimum Rènyi Pseudod…

stat.AP2022

Robust estimation based on one-shot device test data under log-normal lifetimes

N. Balakrishnan, E. Castilla

In this paper we present robust estimators for one-shot device test data under lognormal lifetimes. Based on these estimators, confidence intervals and Wald-type tests are also dev…

stat.ME2022

Robust inference for non-destructive one-shot device testing under step-stress model with exponential lifetimes

Narayanaswamy Balakrishnan, Elena Castilla, María Jaenada +1

One-shot devices analysis involves an extreme case of interval censoring, wherein one can only know whether the failure time is either before or after the test time. Some kind of o…

math.ST2022

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…

math.ST2021

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…