Secant Kumaraswamy Family of Distributions: Properties, Regression Model, and Applications
In this study, Secant Kumaraswamy family of distributions is proposed and studied. This is motivated by the fact that no one distribution can model all types of data from different fields. Therefore, there is the need to develop distributions with desirable properties and flexible enough for modelli...
Saved in:
Main Authors: | Salifu Nanga, Shei Baba Sayibu, Irene Dekomwine Angbing, Mubarika Alhassan, Abdul-Majeed Benson, Abdul Ghaniyyu Abubakari, Suleman Nasiru |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Computational and Mathematical Methods |
Online Access: | http://dx.doi.org/10.1155/2024/8925329 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bounded Odd Inverse Pareto Exponential Distribution: Properties, Estimation, and Regression
by: Suleman Nasiru, et al.
Published: (2021-01-01) -
A Bounded Lifetime Distribution Specified by a Trigonometric Function: Properties, Regression Model, and Applications
by: Simon A. Ogumeyo, et al.
Published: (2024-01-01) -
Exact Posterior distribution of risk ratio in the Kumaraswamy–Binomial model
by: Andrade, Jose A. A., et al.
Published: (2023-09-01) -
The Convergence Ball and Error Analysis of the Relaxed Secant Method
by: Rongfei Lin, et al.
Published: (2017-01-01) -
A New Bivariate Extended Generalized Inverted Kumaraswamy Weibull Distribution
by: Mahmoud Ragab, et al.
Published: (2022-01-01)