beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation
We present beta4dist, the first open-source Python package that implements a likelihood-based estimation framework for the four-parameter Beta distribution. This flexible distribution is widely used to model bounded, continuous data with diverse shapes, including skewed and heavy-tailed patterns. Su...
Saved in:
Main Authors: | Soham Ghosh, Sujay Mukhoti, Abhirup Banerjee |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
|
Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025002407 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATES OF THE EXPONENT OF PARETO DISTRIBUTION
by: I. S. Pulkin, et al.
Published: (2018-12-01) -
A Maximum Likelihood Estimation Method for Underwater Radiated Noise Power
by: Guoqing Jiang, et al.
Published: (2025-06-01) -
Correction of the Relative Coordinates by Range using the Maximum Likelihood Method
by: V. K. Orlov, et al.
Published: (2016-12-01) -
The methods of inversion and the maximum likelihood estimation in acoustic tests of industrial sources in the environment
by: L. Stryczniewicz
Published: (2014-01-01) -
Locally kernel weighted maximum likelihood estimator for local linear multi-predictor poisson regression
by: Darnah, et al.
Published: (2025-06-01)