Bivariate exponentiated half logistic distribution: Properties and application-Reference-Cited by-同舟云学术

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Bivariate exponentiated half logistic distribution: Properties and application

Published:2020-03-16 Issue:24 Volume:50 Page:6099-6121
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Alotaibi Refah Mohammed¹^ORCID,Rezk Hoda Ragab¹²^ORCID,Ghosh Indranil³^ORCID,Dey Sanku⁴^ORCID

Affiliation:

1. Mathematical Sciences Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Statistics, Al-Azhar University, Cairo, Egypt

3. Department of Mathematics and Statistics, University of North Carolina, Wilmington, USA

4. Department of Statistics, St. Anthony’s College, Shillong, Meghalaya, India

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1739310

Reference26 articles.

1. Weighted Weibull distribution: Bivariate and multivariate cases

2. Estimation and Hypothesis Testing for the Parameters of a Bivariate Exponential Distribution

3. On a Measure of Dependence Between two Random Variables

4. The Exponentiated Half-Logistic Family of Distributions: Properties and Applications

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. General classes of bivariate distributions for modeling data with common observations;Statistical Papers;2024-07-20

2. A New Bivariate Family Based on Archimedean Copulas: Simulation, Regression Model and Application;Symmetry;2023-09-18

3. On the Type-I Half-logistic Distribution and Related Contributions: A Review;Austrian Journal of Statistics;2023-09-11

4. Investigating the Relationship between Processor and Memory Reliability in Data Science: A Bivariate Model Approach;Mathematics;2023-05-03

5. A novel bivariate Lomax-G family of distributions: Properties, inference, and applications to environmental, medical, and computer science data;AIMS Mathematics;2023

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