Modified multivariate adaptive regression spline and generalized Poisson regression

Riry Sriningsih, Bambang Widjanarko Otok*, Sutikno

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discusses model formation which is a modification between multivariate adaptive regression spline (MARS) and generalized Poisson regression (GPR). The maximum likelihood estimation method (MLE) is performed to determine the estimation of model parameters. Furthermore, the model was applied to cases of dengue hemorrhagic fever (DHF) in Java. The results obtained are estimates of model parameters that are not closed form. Therefore, it was solved by the Bernd Hall Hausman (BHHH) numerical method. The results of the application get a very good model on the basis of function = 16, maximum interaction = 3, and minimum observation = 1.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Editors Yerizon, Paulo Canas Rodrigues, Goh Khang Wen, Devni Prima Sari, Fridgo Tasman, Ronal Rifandi, Nurul Afifah Rusyda
PublisherAmerican Institute of Physics
Edition1
ISBN (Electronic)9780735449091
DOIs
Publication statusPublished - 10 Apr 2024
Event6th International Conference on Mathematics and Mathematics Education, ICM2E 2022 - Padang, Indonesia
Duration: 3 Sept 20224 Sept 2022

Publication series

NameAIP Conference Proceedings
Number1
Volume3024
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference6th International Conference on Mathematics and Mathematics Education, ICM2E 2022
Country/TerritoryIndonesia
CityPadang
Period3/09/224/09/22

Fingerprint

Dive into the research topics of 'Modified multivariate adaptive regression spline and generalized Poisson regression'. Together they form a unique fingerprint.

Cite this