4 papers
Robust tests for log-logistic models based on minimum density power divergence estimators
A. Felipe, M. Jaenada, P. Miranda +1
The log-logistic distribution is a versatile parametric family widely used across various applied fields, including survival analysis, reliability engineering, and econometrics. Wh…
Robust estimators for the log-logistic model based on ranked set sampling
Ángel Felipe, María Jaenada, Pedro Miranda +1
In this paper we introduce a new family of estimators for the parameters of shape and scale of the log-logistic distribution being robust when rank set sample method is used to sel…
Robust parameter estimation of the log-logistic distribution based on density power divergence estimators
A. Felipe, M. Jaenada, P. Miranda +1
Robust inferential methods based on divergences measures have shown an appealing trade-off between efficiency and robustness in many different statistical models. In this paper, mi…
Minimum ϕ-divergence estimation in constrained latent class models for binary data
Ángel Felipe, Pedro Miranda, Leandro Pardo
The main purpose of this paper is to introduce and study the behavior of minimum ϕ-divergence estimators as an alternative to the maximum likelihood estimator in latent class model…