Abstract
We will now consider not the probability of observing particular events but rather the events themselves and try to find a particularly simple way of classifying them. We can, for instance, associate the event “heads” with the number 0 and the event “tails” with the number 1.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Without loss of generality we can take these to be the variables x 1, x 2, …, x ℓ .
- 2.
For details on matrix notation see Appendix A.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Brandt, S. (2014). Random Variables: Distributions. In: Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-03762-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-03762-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03761-5
Online ISBN: 978-3-319-03762-2
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)