1 citations · 2 across the 9 of their papers we have counts for
9 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…
Model Selection for independent not identically distributed observations based on Rényi's pseudodistances
Angel Felipe, Maria Jaenada, Pedro Miranda +1
Model selection criteria are rules used to select the best statistical model among a set of candidate models, striking a trade-off between goodness of fit and model complexity. Mos…
Restricted distance-type Gaussian estimators based on density power divergence and their applications in hypothesis testing
Ángel Felipe, María Jaenada, Pedro Miranda +1
Zhang (2019) presented a general estimation approach based on the Gaussian distribution for general parametric models where the likelihood of the data is difficult to obtain or unk…
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…
Empirical phi-divergence test statistics for testing simple null hypotheses based on exponentially tilted empirical likelihood estimators
Angel Felipe, Nirian Martín, Pedro Miranda +1
In Econometrics, imposing restrictions without assuming underlying distributions to modelize complex realities is a valuable methodological tool. However, if a subset of restrictio…
Phi-Divergence test statistics for testing the validity of latent class models for binary data
Ángel Felipe, Nirian Martín, Pedro Miranda +1
The main purpose of this paper is to present new families of test statistics for studying the problem of goodness-of-fit of some data to a latent class model for binary data. The f…
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…