Abstract
The most basic concept in multivariate analysis is the idea of a multivariate probability distribution. We assume the reader is familiar with the definition of a (univariate) random variable and with standard probability distributions such as the normal distribution. This chapter extends these univariate ideas to the multivariate case. We discuss the general properties of multivariate distributions and consider some particular examples including the multivariate normal distribution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1980 C. Chatfield and A. J. Collins
About this chapter
Cite this chapter
Chatfield, C., Collins, A.J. (1980). Multivariate distributions. In: Introduction to Multivariate Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3184-9_2
Download citation
DOI: https://doi.org/10.1007/978-1-4899-3184-9_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-412-16030-1
Online ISBN: 978-1-4899-3184-9
eBook Packages: Springer Book Archive