Abstract
There were examples in lesson 6 demonstrating that a sequence of probability distribution functions need not converge to a probability distribution function. Here we will introduce notation and techniques to enable us to discuss this phenomenon more thoroughly..
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer Science+Business Media New York
About this chapter
Cite this chapter
Nguyen, H.T., Rogers, G.S. (1989). Convergence of Sequences of Distribution Functions. In: Fundamentals of Mathematical Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1013-9_43
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1013-9_43
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6984-7
Online ISBN: 978-1-4612-1013-9
eBook Packages: Springer Book Archive