We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies and Fisher information when computed on the maximum likelihood estimator of probabilities from multinomial random samples. We verify that these asymptotic models, two of which (Tsallis and Fisher) are normal, describe well a variety of simulated data. In addition, we obtain test statistics for comparing (possibly different types of) entropies from two samples without requiring the same number of categories. Finally, we apply these tests to social survey data and verify that the results are consistent but more general than those obtained with a χ2 test
Using a q-analog of Boltzmann's combinatorial basis of entropy, the non-asymptotic non-degenerate an...
In the statsitical analysis of observations from multinomial distribution, it is somtimes estimate t...
The combination of mathematical models and uncertainty measures can be applied in the area of data m...
We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies...
summary:To study the asymptotic properties of entropy estimates, we use a unified expression, called...
The ultimate purpose of the statistical analysis of ordinal patterns is to characterize the distribu...
The estimation of the entropy of a random system or process is of interest in many scientific applic...
We investigate the asymptotic properties of some statistics based on quadratic entropy (QE), a notio...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
In the field of non-extensive statistical mechanics it is common to focus more attention on the fami...
Here we assume a discrete random variable, possessing a one-to-one correspondence with the set of na...
International audience—We study entropy rates of random sequences for general entropy functionals in...
Based on the Jaynes principle of maximum for informational entropy, we find a generalized probabilit...
electronic version (6 pp.)International audienceDistributions derived from the maximization of Rényi...
Entropy and its various generalizations are widely used in mathematical statistics, communication th...
Using a q-analog of Boltzmann's combinatorial basis of entropy, the non-asymptotic non-degenerate an...
In the statsitical analysis of observations from multinomial distribution, it is somtimes estimate t...
The combination of mathematical models and uncertainty measures can be applied in the area of data m...
We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies...
summary:To study the asymptotic properties of entropy estimates, we use a unified expression, called...
The ultimate purpose of the statistical analysis of ordinal patterns is to characterize the distribu...
The estimation of the entropy of a random system or process is of interest in many scientific applic...
We investigate the asymptotic properties of some statistics based on quadratic entropy (QE), a notio...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
In the field of non-extensive statistical mechanics it is common to focus more attention on the fami...
Here we assume a discrete random variable, possessing a one-to-one correspondence with the set of na...
International audience—We study entropy rates of random sequences for general entropy functionals in...
Based on the Jaynes principle of maximum for informational entropy, we find a generalized probabilit...
electronic version (6 pp.)International audienceDistributions derived from the maximization of Rényi...
Entropy and its various generalizations are widely used in mathematical statistics, communication th...
Using a q-analog of Boltzmann's combinatorial basis of entropy, the non-asymptotic non-degenerate an...
In the statsitical analysis of observations from multinomial distribution, it is somtimes estimate t...
The combination of mathematical models and uncertainty measures can be applied in the area of data m...