Page 1 MULTIDIMENSIONAL SCALING JOSEPH B. KRUSKAL MYRON WISH Series: Quantitative Applications in the Social Sciences Editor: Eric M. Uslaner Sa SAGE …
Multidimensionalscaling (MDS) isatechniquefortheanalysisofsimilarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on …
The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Not so long ago, multivariate analysis consisted solely of linear methods illustrated on small to medium-sized data sets. Moreover, statistical computing meant primarily batch processing …
Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder …
A strategy is presented for analysing marine biological survey data and relating the biotic patterns to environmental data. To avoid circular argument, biotic and environmental data …
JF Gräve - Proceedings of the 8th international conference on …, 2017 - dl.acm.org
The growing popularity of social media networks enables individuals to acquire large audiences of up to several million people on these platforms. Companies are starting to …
The large, sparse arrays of species counts arising in both field and experimental community studies do not lend themselves to standard statistical tests based on multivariate normality …
This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground …