In this paper a dissimilarity index between statistical populations is pro-posed without the hypothesis of a specific statistical model. We assume that the studied populations differ on some relevant features which are measured trough convenient parameters of interest. We assume also that we dispose of adequate estimators for these parameters. To measure the differences be-tween populations with respect the parameters of interest, we construct an index inspired on some properties of the information metric which are also presented. Additionally, we consider several examples and compare the ob-tained dissimilarity index with some other distances, like Mahalanobis or Siegel distances
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic object...
Whereas a rich literature exists for estimating population genetic divergence, metrics of phenotypic...
The analysis of many social phenomena requires to compare distributions of outcomes achieved by indi...
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
In the last decade there has been an increasing interest in mining time series data and many distanc...
Copyright © 2013 Giovanni Girone, Antonella Nannavecchia. This is an open access article distributed...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
The index of dissimilarity, often denoted by Delta, is commonly used, especially in social science a...
The index of dissimilarity, often denoted by Delta, is commonly used, especially in social science a...
In this paper the authors study empirically the power of the test based on the index of dissimilari-...
In this paper we propose a new index Z for measuring the dissimilaritybetween two hierarchical clust...
In this paper we propose a new index Z for measuring the dissimilarity between two hierarchical clus...
International audienceThe most widely used measures of time series proximity are the Euclidean dista...
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic object...
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic object...
Whereas a rich literature exists for estimating population genetic divergence, metrics of phenotypic...
The analysis of many social phenomena requires to compare distributions of outcomes achieved by indi...
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
In the last decade there has been an increasing interest in mining time series data and many distanc...
Copyright © 2013 Giovanni Girone, Antonella Nannavecchia. This is an open access article distributed...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
The index of dissimilarity, often denoted by Delta, is commonly used, especially in social science a...
The index of dissimilarity, often denoted by Delta, is commonly used, especially in social science a...
In this paper the authors study empirically the power of the test based on the index of dissimilari-...
In this paper we propose a new index Z for measuring the dissimilaritybetween two hierarchical clust...
In this paper we propose a new index Z for measuring the dissimilarity between two hierarchical clus...
International audienceThe most widely used measures of time series proximity are the Euclidean dista...
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic object...
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic object...
Whereas a rich literature exists for estimating population genetic divergence, metrics of phenotypic...
The analysis of many social phenomena requires to compare distributions of outcomes achieved by indi...