Titlebook: Computational Statistics; Volume 1: Proceeding Yadolah Dodge (Professor of Statistics and Operati Conference proceedings 1992 Springer-Verl

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Sybille Sachs,Edwin Rühli,Isabelle Kerne use of a so-called ordinal principal component for this purpose. The ordinal principal component is defined as a new variable which orders the sample observations in such a way that the sum of the squares of the (rank) correlation coefficients between the original variables and the ordinal princip

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Managing Within Your Organisation this model would make it popular to use, but in reality there might be few data sets which obey a strictly additive model. For a complete analysis of data which are arranged in a two-way array, one needs to determine if the two factors interact. If there is only one observation per cell, the above

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Scaling Factors in Generalised Procrustes Analysiswn to include a component for differential weighting of individual configurations as well as a component adjusting for overall size. These separate components are illustrated using a data set from sensory analysis. Separating the components can lead to improved time to convergence as shown in simulation studies.

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Computational Aspects of the Nearest Neighbor Statisticsform and multivariate standard normal distribution. A recursive function for the expected value of the k-th nearest neighbor is derived for the asymptotic distributions. Monte Carlo method is used to assess the presented approach.

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