1 citations · 1 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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 and composite null hypotheses
Narayanaswamy Balakrishnan, Nirian Martín, Leandro Pardo
The main purpose of this paper is to introduce first a new family of empirical test statistics for testing a simple null hypothesis when the vector of parameters of interest are de…