Bulletin of Applied Mathematics and Mathematics Education
Vol. 2 No. 1 (2022)

Fuzzy regression model with Bayesian approach and its application to public health data

Wan Ahmad, Wan Muhammad Amir bin (Unknown)
Nizam Akbar, Nurul Asyikin (Unknown)
Mohamad Ghazali, Farah Muna (Unknown)
Mohd Noor, Nor Farid (Unknown)
Aleng, Nor Azlida (Unknown)

Article Info

Publish Date
18 May 2022

Abstract

The application of the Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression method through the SAS algorithm is the focus of this paper. As an alternative method of data analysis in biostatistics, this modified method can be used. This modified method includes a bootstrapping technique, residual normality checking and some Bayesian Linear Regression Modeling (BLR) enhancement through Fuzzy Bayesian Linear Regression. We illustrated the application of the algorithm for Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression in this paper.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
1349.252 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Bulletin of Applied Mathematics and Mathematics Education
Website

Abbrev

BAMME

Publisher

Universitas Ahmad Dahlan

Subject

Mathematics

Description

BAMME welcomes high-quality manuscripts resulted from a research project in the scope of applied mathematics and mathematics education, which includes, but is not limited to the following topics: Analysis and applied analysis, algebra and applied algebra, logic, geometry, differential equations, ...