Information and Divergence Measures
Dublin Core
Title
Information and Divergence Measures
Subject
Physics
Research and information
Research and information
Description
The concept of distance is important for establishing the degree of similarity and/or closeness between functions, populations, or distributions. As a result, distances are related to inferential statistics, including problems related to both estimation and hypothesis testing, as well as modelling with applications in regression analysis, multivariate analysis, actuarial science, portfolio optimization, survival analysis, reliability theory, and many other areas.
Creator
Alex Karagrigoriou
Andreas Makrides
Andreas Makrides
Source
https://mdpi-res.com/bookfiles/book/7750/Information_and_Divergence_Measures.pdf?v=1751332055
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2023
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Alex Karagrigoriou
Andreas Makrides, “Information and Divergence Measures,” Open Educational Resource (OER) - USK Library, accessed January 31, 2026, http://oer.usk.ac.id/items/show/8711.