A new heavy-tailed distribution with identifiability and heavy-tailed properties. Empirical exploration in music engineering with a case study on piano-Reference-Cited by-同舟云学术

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A new heavy-tailed distribution with identifiability and heavy-tailed properties. Empirical exploration in music engineering with a case study on piano

Published:2024-12 Issue: Volume:108 Page:486-497
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Liu Yuan,Albalawi Olayan^ORCID

Publisher

Elsevier BV

Reference27 articles.

1. A conditional autoregressive range model with gamma distribution for financial volatility modelling;Xie;Econ. Model.,2017

2. A new extension of the modified Weibull distribution with applications for engineering data;Ghazal;Probab. Eng. Mech.,2023

3. A new reciprocal Weibull extension for modeling extreme values with risk analysis under insurance data;Yousof;Mathematics,2023

4. Applying the separation of probability distribution mixtures to problems of financial analysis;Lagno;Moscow Univ. Comput. Math. Cybernet.,2023

5. A novel logarithmic approach to generate new probability distributions for data modeling in the engineering sector;Zhao;Alexandria Eng. J.,2023

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