On some nonparametric tests for profile analysis of several multivariate samples

AbstractFor profile analysis of independent samples from several multivariate populations, a nonparametric analog of the hypothesis of parallelism of population profiles is formulated. A class of asymptotically distribution-free statistics is offered to test this hypothesis. These are based on generalized U statistics and are in some sense modifications of statistics offered previously by one of the authors for testing the homogeneity hypothesis. Consistency of these statistics is established for suitable alternatives and also asymptotic power is investigated

On the loss of information in conditional maximum likelihood estimation of item parameters

conditional maximum likelihood, loss of information, F-information, Rasch models, item parameter estimation,

A Repetitive Branch-and-Bound Procedure for Minimum Within-Cluster Sums of Squares Partitioning

combinatorial data analysis, cluster analysis, K-means, branch and bound,

Orthogonal decomposition of point-symmetry for multiway tables

Likelihood ratio statistic, Marginal point-symmetry, Quasi point-symmetry, Separability, Square contingency table,