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1986 | OriginalPaper | Chapter

Mathematical and Statistical Properties of Sample Principal Components

Author : I. T. Jolliffe

Published in: Principal Component Analysis

Publisher: Springer New York

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The first part of this chapter will be similar in structure to Chapter 2, except that it will deal with properties of PCs obtained from a sample covariance (or correlation) matrix, rather than from a population covariance (or correlation) matrix. The first two sections of the chapter, as in Chapter 2, describe respectively many of the algebraic and geometric properties of PCs. Most of the properties discussed in Chapter 2 are almost the same for samples as for populations, and will only be mentioned again briefly. There are, however, some additional properties which are relevant only to sample PCs and these will be discussed more fully.

Metadata
Title
Mathematical and Statistical Properties of Sample Principal Components
Author
I. T. Jolliffe
Copyright Year
1986
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4757-1904-8_3

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