Advanced search
Publication Cover
Journal of Applied Statistics Volume 47, 2020 - Issue 13-15: Advances in Computational Data Analysis
Submit an article Journal homepage
149
Views
3
CrossRef citations to date
0
Altmetric
V WCDANM 2018: Advances in Computational Data Analysis

Reconceptualizing the p-value from a likelihood ratio test: a probabilistic pairwise comparison of models based on Kullback-Leibler discrepancy measures

Benjamin Riedlea Eli Lilly and Company, Indianapolis, IN, USA
,
Andrew A. Neathb Department of Mathematics and Statistics, Southern Illinois University, Edwardsville, IL, USA
&
Joseph E. Cavanaughc Department of Biostatistics, University of Iowa, Iowa City, IA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0514-7664
ORCID Icon
Pages 2582-2609 | Received 02 Dec 2019, Accepted 05 Apr 2020, Published online: 23 Apr 2020

Citations (3)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

M. Stehlík, L. M. Grilo & P. K. Jordanova. (2020) Editorial to special issue V WCDANM 2018. Journal of Applied Statistics 47:13-15, pages 2289-2298.
Read now

Articles from other publishers (2)

Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, Stéphane Potvin & Alexandre Dumais. (2023) Enhancing Predictive Power: Integrating a Linear Support Vector Classifier with Logistic Regression for Patient Outcome Prognosis in Virtual Reality Therapy for Treatment-Resistant Schizophrenia. Journal of Personalized Medicine 13:12, pages 1660.
Crossref
Andres Dajles & Joseph Cavanaugh. (2022) Probabilistic Pairwise Model Comparisons Based on Bootstrap Estimators of the Kullback–Leibler Discrepancy. Entropy 24:10, pages 1483.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.