AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testing goodness-of-fit. Under the simple and composite null hypotheses the asymptotic distribution of these tests is shown to be chi-squared. For composite hypothesis, the unspecified parameters are estimated by maximum likelihood as well as minimum Burbea–Rao divergenc
AbstractWe propose a new definition of the Neyman chi-square divergence between distributions. Based...
Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different met...
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
summary:In this paper we present a simulation study to analyze the behavior of the $\phi $-divergenc...
The consequences of model misspecification for multinomial data when using minimum [phi]-divergence ...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
AbstractIn this paper for a wide class of goodness-of-fit statistics based Kφ-divergences, the asymp...
We introduce a family of goodness-of-fit statistics for testing composite null hypotheses in multi-d...
ACL-1International audienceAn axiomatic approach is used to develop a one-parameter family of measur...
Testing for goodness-of-fit of discrete models is a difficult task when data come from a sample surv...
AbstractWe propose a new definition of the Neyman chi-square divergence between distributions. Based...
Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different met...
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
summary:In this paper we present a simulation study to analyze the behavior of the $\phi $-divergenc...
The consequences of model misspecification for multinomial data when using minimum [phi]-divergence ...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
AbstractIn this paper for a wide class of goodness-of-fit statistics based Kφ-divergences, the asymp...
We introduce a family of goodness-of-fit statistics for testing composite null hypotheses in multi-d...
ACL-1International audienceAn axiomatic approach is used to develop a one-parameter family of measur...
Testing for goodness-of-fit of discrete models is a difficult task when data come from a sample surv...
AbstractWe propose a new definition of the Neyman chi-square divergence between distributions. Based...
Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different met...
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
DOI
Add to ORKG