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20162025
most citedNew robust statistical procedures for polytomous logistic regression models

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

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8 papers · 1 filter

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.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…

stat.ME2019

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…

stat.ME2017★ 1 cited

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…

stat.ME2017★ 21 cited

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…