Two Dimensional and Multi-Dimensional Distributions
Chapter
Abstract
Until now, we have considered mostly problems involving a single random variable. However, often we have two or more variables. We may have an event characterized by energy and angle, or temperature and pressure, etc. Sometimes the two variables are completely independent, but often they are strongly correlated. In this chapter, we will examine general two and n dimensional probability distributions and also the generalization of the normal distribution to two and more dimensions.
Keywords
Residual Variance Linear Regression Line Dimensional Distribution Moment Matrix Orthogonal Coordinate System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Preview
Unable to display preview. Download preview PDF.
Copyright information
© Springer Science+Business Media New York 1992