On Bivariate Distributions with \(N\) Deleted Areas: Mathematical Definition

A new definition of deleting \(N\)-intervals from the domain of two random variables which have known bivariate distribution (\(N\)-truncated bivariate distribution) has been provided. This type of distribution is useful in real life applications, where it gives us the opportunity to delete \(N\)-intervals of data. This will increase the accuracy of statistical analysis, which facilitates decision-making. As a result of this multiple truncation, changes occur in the statistical properties of the bivariate distribution from its original version. We have thoroughly processed these properties and applied this definition to the bivariate normal distribution.

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Publication Details

Journal
Communications in Mathematics and Applications
Published
2024-11-30
DOI
https://doi.org/10.26713/cma.v15i3.2834
Citations
1
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.35
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article

On Bivariate Distributions with \(N\) Deleted Areas: Mathematical Definition

R. Alraddadi, Mohamed Abd Allah El‐Hadidy
1 citations
Communications in Mathematics and Applications
Bayesian Methods and Mixture Models
0.35
article

On Bivariate Distributions with \(N\) Deleted Areas: Mathematical Definition

R. Alraddadi, Mohamed Abd Allah El‐Hadidy
article en
1 citations

Abstract

A new definition of deleting \(N\)-intervals from the domain of two random variables which have known bivariate distribution (\(N\)-truncated bivariate distribution) has been provided. This type of distribution is useful in real life applications, where it gives us the opportunity to delete \(N\)-intervals of data. This will increase the accuracy of statistical analysis, which facilitates decision-making. As a result of this multiple truncation, changes occur in the statistical properties of the bivariate distribution from its original version. We have thoroughly processed these properties and applied this definition to the bivariate normal distribution.

Communications in Mathematics and ApplicationsVol. 15(3)
Tanta University (EG), Taibah University (SA)
Reduced inequalities
Openalex Percentile: Top 29%
Bayesian Methods and Mixture Models
0.35
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