This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays of making linear or affine transformations of the variables is studied.
This monograph deals with a class of statistical models that generalizes classical linear models to include many other models that have been found useful in statistical analysis.
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