1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
A logistic regression analysis approach for sample survey data based on phi-divergence measures
Elena Castilla, Nirian Martin, Leandro Pardo
A new family of minimum distance estimators for binary logistic regression models based on -divergence measures is introduced. The so called "pseudo minimum phi-divergence estim…
Semiparametric clustered overdispersed multinomial goodness-of-fit of log-linear models
Juana M. Alonso-Revenga, Nirian Martin, Leandro Pardo
Traditionally, the Dirichlet-multinomial distribution has been recognized as a key model for contingency tables generated by cluster sampling schemes. There are, however, other pos…
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…
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…