The Multivariate Local Dependence Function
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Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis Ltd.
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
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Publicly Funded
No
Abstract
The local dependence function is important in many applications of probability and statistics. We extend the bivariate local dependence function (Bairamov and Kotz 2000; Bairamov, Kotz, and Kozubowski 2003) to three-variate and multivariate local dependence function characterizing the dependency between three and more random variables in a given specific point. The definition and properties of the three-variate local dependence function are discussed. An example of a three-variate local dependence function for underlying three-variate normal distribution is presented. The graphs and tables with numerical values are provided. The multivariate extension of the local dependence function that can characterize the dependency between multiple random variables at a specific point is also discussed. © 2025 Taylor & Francis Group, LLC.
Description
Keywords
Dependent Random Variables, Joint Distribution, Measures Of Dependency, 62E10, 62E25, 62025, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST)
Fields of Science
Citation
WoS Q
N/A
Scopus Q
Q3

OpenCitations Citation Count
N/A
Source
Communications in Statistics Case Studies Data Analysis and Applications
Volume
11
Issue
2
Start Page
232
End Page
253
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