{2}-Inverses and Their Statistical Application

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Much of the traditional approach to linear model analysis is bound up in complex matrix expressions revolving about the usual generalized inverse. Motivated by this important role of the generalized inverse. the research summarized here began as an interest in understanding. in geometric terms. the four conditions defining the qnique Moore-Penrose Inverse. Such an investigation. it was hoped. might lead to a better understanding. and possibly a simplification of. the usual matrix expressions. Initially this research was ...

{2}-Inverses and Their Statistical Application 1988, Springer, New York, NY

ISBN-13: 9780387968490

Softcover Reprint of the Origi edition

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