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
summary:The aim of the paper is to present a test of goodness of fit with weigths in the classes bas...
In this paper we present two new families of test statistics for studying the problem of goodness-of...
Several nonparametric goodness-of-fit tests are based on the empirical distribution function. In the...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
AbstractThe paper deals with simple and composite hypotheses in statistical models with i.i.d. obser...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
Nested parameter spaces, either in the null or alternative hypothesis, constitute a guarantee for i...
summary:In this paper we introduce several algorithms to generate all the vectors in the support of ...
AbstractIn this paper for a wide class of goodness-of-fit statistics based Kφ-divergences, the asymp...
Methodology for discrete multivariate data based on the loglikelihood ratio statistic G[superscript]...
AbstractWe propose a new definition of the Neyman chi-square divergence between distributions. Based...
We propose a new definition of the Neyman chi-square divergence between distributions. Based on conv...
summary:The aim of the paper is to present a test of goodness of fit with weigths in the classes bas...
In this paper we present two new families of test statistics for studying the problem of goodness-of...
Several nonparametric goodness-of-fit tests are based on the empirical distribution function. In the...
AbstractThis paper investigates a new family of statistics based on Burbea–Rao divergence for testin...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
An axiomatic approach is used to develop a one-parameter family of measures of divergence between di...
summary:In this paper a new family of statistics based on $K_{\phi }$-divergence for testing goodnes...
AbstractThe paper deals with simple and composite hypotheses in statistical models with i.i.d. obser...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
Nested parameter spaces, either in the null or alternative hypothesis, constitute a guarantee for i...
summary:In this paper we introduce several algorithms to generate all the vectors in the support of ...
AbstractIn this paper for a wide class of goodness-of-fit statistics based Kφ-divergences, the asymp...
Methodology for discrete multivariate data based on the loglikelihood ratio statistic G[superscript]...
AbstractWe propose a new definition of the Neyman chi-square divergence between distributions. Based...
We propose a new definition of the Neyman chi-square divergence between distributions. Based on conv...
summary:The aim of the paper is to present a test of goodness of fit with weigths in the classes bas...
In this paper we present two new families of test statistics for studying the problem of goodness-of...
Several nonparametric goodness-of-fit tests are based on the empirical distribution function. In the...
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