On T-Transformation of Probability Measures

The concept of the (T=(s,t))-transformation of probability measures, introduced for s>0 and t∈R, is examined in this work from the perspective of Cauchy–Stieltjes kernel (CSK) families and their related variance functions (VFs). We calculate the VF formula under the T-transformation of measures. Furthermore, the stability of the free Meixner family (FMF) of probability measures under the (T=(s,t))-transformation is significantly shown based on this formula. Additionally, the Wigner’s semicircle CSK family is given a novel characterization based on the (1,t)-transformation of probability measures.

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Publication Details

Journal
Mathematics
Published
2025-02-28
DOI
https://doi.org/10.3390/math13050818
Primary Topic
Statistical and Computational Modeling
Type
article
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article

On T-Transformation of Probability Measures

Shokrya S. Alshqaq, Raouf Fakhfakh, Ohud A. Alqasem
Mathematics
Statistical and Computational Modeling
article

On T-Transformation of Probability Measures

Shokrya S. Alshqaq, Raouf Fakhfakh, Ohud A. Alqasem
article en

Abstract

The concept of the (T=(s,t))-transformation of probability measures, introduced for s>0 and t∈R, is examined in this work from the perspective of Cauchy–Stieltjes kernel (CSK) families and their related variance functions (VFs). We calculate the VF formula under the T-transformation of measures. Furthermore, the stability of the free Meixner family (FMF) of probability measures under the (T=(s,t))-transformation is significantly shown based on this formula. Additionally, the Wigner’s semicircle CSK family is given a novel characterization based on the (1,t)-transformation of probability measures.

MathematicsVol. 13(5)
Princess Nourah bint Abdulrahman University (SA), Jouf University (SA), Jazan University (SA)
Openalex Percentile: Top 99%
Statistical and Computational Modeling
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