THE PREVIOUS CHAPTER described inference on the multivariate normal distribution. Sometimes this is more than we actually need. The multivariate distribution is used as a basis of modeling means and covariances. The covariances describe the multivariate relationship between pairs of individual attributes. In this chapter we go further and describe methods for identifying relationships between several variables concurrently. In the following chapter we will use regression methods to model the means.
CITATION STYLE
Zelterman, D. (2015). Factor Methods (pp. 207–229). https://doi.org/10.1007/978-3-319-14093-3_8
Mendeley helps you to discover research relevant for your work.