DeepAI

AI Chat AI Image Generator AI Video AI Music Generator

A New One Parameter Bimodal Skew Logistic Distribution and its Applications

06/10/2019

∙

by S. Shah, et al.

∙

∙

In this paper an attempt is made to develop a new bimodal alpha skew logistic distribution under Balakrishnan (2002) mechanism. Some of its distributional as well as moments properties are studied. Some extensions of this new distribution are also briefly introduced. Finally, suitability of the proposed distribution is checked with the help of data fitting examples of real life.

S. Shah
3 publications
S. Chakraborty
6 publications
P. J. Hazarika
2 publications

page 1

page 2

page 3

page 4

research

∙ 06/18/2019

Balakrishnan Alpha Skew Normal Distribution: Properties and Applications

In this paper a new type of alpha skew distribution is proposed under Ba...

0 P. J. Hazarika, et al. ∙

research

∙ 09/09/2019

The Alpha-Beta-Skew-Logistic Distribution And Its Applications

In this paper, an alpha-beta-skew-logistic distribution is proposed foll...

0 Sricharan Shah, et al. ∙

research

∙ 10/27/2020

On an Induced Distribution and its Statistical Properties

In this study an attempt has been made to propose a way to develop new d...

0 Brijesh P. Singh, et al. ∙

research

∙ 03/18/2019

On Generalized q-logistic Distribution and its Characterizations

Several generalizations of the logistic distribution, and certain relate...

0 Seema S Nair, et al. ∙

research

∙ 09/21/2020

A Relationship Between SIR Model and Generalized Logistic Distribution with Applications to SARS and COVID-19

This paper shows that the generalized logistic distribution model is der...

0 Hideo Hirose, et al. ∙

research

∙ 05/22/2023

Some power function distribution processes

It is known that all the proportional reversed hazard (PRH) processes ca...

0 Barry C. Arnold, et al. ∙

research

∙ 06/10/2020

Some More Properties of the Unit-Gompertz Distribution

In a recent paper, Mazucheli et al. (2019) introduced the unit-Gompertz ...

0 M. Z. Anis, et al. ∙