From the results of convergence by sampling in linear principal component analysis (of a random function in a separable Hilbert space), the limiting distribution is given for the principal values and the principal factors. These results can be explicitly written in the normal case. Some applications to statistical inference are investigated.
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Volume (Year): 12 (1982) Issue (Month): 1 (March) Pages: 136-154 Download reference. The following formats are available: HTML
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