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

Autor:	Wan Muhammad Amir bin Wan Ahmad, Nurul Asyikin Nizam Akbar, Farah Muna Mohamad Ghazali, Nor Farid Mohd Noor, Nor Azlida Aleng
Rok vydání:	2022
Předmět:	Computer Networks and Communications Hardware and Architecture Software
Zdroj:	Bulletin of Applied Mathematics and Mathematics Education. 2:19-32
ISSN:	2776-1029 2776-1002
DOI:	10.12928/bamme.v2i1.3953
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2dbccf2bd95b989814b4bdc6e347656f https://doi.org/10.12928/bamme.v2i1.3953 Zobrazit plný text záznamu