Add to ORKGASYMMAXSCAL is revisited first, which is a maximum likelihood asymmetric multidimensional scaling method recently proposed by Saburi and Chino (2008). It is proven that the likelihood ratio test statistic on the quasi-symmetry hypothesis proposed by Caussinus (1965) and that of a marginal homogeneity hypothesis suggested by Andersen (1980) are mutually independent statistically. A possible application of this theorem is indicated to asymmetric relational data in the context of asymmetric multidimensional scaling
AbstractData in social and behavioral sciences are often hierarchically organized. Special statistic...
This thesis deals with several statistical and probabilistic aspects of symmetry and asymmetry, both...
A new procedure is discussed which fits either the weighted or simple Euclidian model to data that m...
Many models have been reported for asymmetric multidimensional scaling (MDS) since Young (1975) prop...
Multidimensional Scaling (MDS) is a data analysis technique to represent a set of objects in a mult...
For the analysis of square contingency tables, Caussinus (1965) proposed the quasi-symmetry model an...
The history and scope of asymmetric multidimensional scaling (abbreviated as asymmetric MDS) are bri...
Properties of robust statistics have been extensively studied in the univariate setting when the und...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
Asymmetric relationships contained in square data matrices like proximities (e.g. similarity ratings...
We compare three alternative Maximum Likelihood Multidimensional Scaling methods for pairwise dissim...
Seriation and multidimensional scaling are two techniques aimed at exploring relationships in domin...
Asymmetric pairwise relationships are frequently observed in experimental and non-experimental studi...
This paper evaluates traditional data segmentation approaches used to study asymmetric price transmi...
The term ‘Multidimensional Scaling’ or MDS is used in two essentially different ways in statistics (...
AbstractData in social and behavioral sciences are often hierarchically organized. Special statistic...
This thesis deals with several statistical and probabilistic aspects of symmetry and asymmetry, both...
A new procedure is discussed which fits either the weighted or simple Euclidian model to data that m...
Many models have been reported for asymmetric multidimensional scaling (MDS) since Young (1975) prop...
Multidimensional Scaling (MDS) is a data analysis technique to represent a set of objects in a mult...
For the analysis of square contingency tables, Caussinus (1965) proposed the quasi-symmetry model an...
The history and scope of asymmetric multidimensional scaling (abbreviated as asymmetric MDS) are bri...
Properties of robust statistics have been extensively studied in the univariate setting when the und...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
Asymmetric relationships contained in square data matrices like proximities (e.g. similarity ratings...
We compare three alternative Maximum Likelihood Multidimensional Scaling methods for pairwise dissim...
Seriation and multidimensional scaling are two techniques aimed at exploring relationships in domin...
Asymmetric pairwise relationships are frequently observed in experimental and non-experimental studi...
This paper evaluates traditional data segmentation approaches used to study asymmetric price transmi...
The term ‘Multidimensional Scaling’ or MDS is used in two essentially different ways in statistics (...
AbstractData in social and behavioral sciences are often hierarchically organized. Special statistic...
This thesis deals with several statistical and probabilistic aspects of symmetry and asymmetry, both...
A new procedure is discussed which fits either the weighted or simple Euclidian model to data that m...