A nonparametric assessment of model adequacy based on Kullback-Leibler divergence

Published 2011 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A nonparametric assessment of model adequacy based on Kullback-Leibler divergence
Authors
Keywords
Goodness of fit, Nonparametric alternative, Packet train, Polya tree, Teletraffic data
Journal
STATISTICS AND COMPUTING
Volume 23, Issue 2, Pages 149-162
Publisher
Springer Nature
Online
2011-11-18
DOI
10.1007/s11222-011-9298-0

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.