Research Article
Clusterwise Regression Model Development with Gamma Distribution
@INPROCEEDINGS{10.4108/eai.2-8-2019.2290521, author={Reski Syafruddin and Agus M. Soleh and Aji H. Wigena}, title={Clusterwise Regression Model Development with Gamma Distribution}, proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia}, publisher={EAI}, proceedings_a={ICSA}, year={2020}, month={1}, keywords={clusterwise regression gamma distribution generalized linear model with gamma distribution linear regression model}, doi={10.4108/eai.2-8-2019.2290521} }- Reski Syafruddin
Agus M. Soleh
Aji H. Wigena
Year: 2020
Clusterwise Regression Model Development with Gamma Distribution
ICSA
EAI
DOI: 10.4108/eai.2-8-2019.2290521
Abstract
This paper present development of clusterwise regression with a data set that has gamma distribution. Clusterwise regression is a method that finds simultaneously an optimal member of data in k cluster and each cluster have the best regression model. Analysis of a simulated data set has also been presented for illustrative purposes. Gamma and normal distributions were used for distribution of responses scenario with different parameters. This simulation study is carried out by initializing the number of clusters, classify observations randomly as an initial partition, move observation to the cluster giving the smallest residual and re-estimate the regression model from final partition. This simulation showed that clusterwise regression is able to form partition according to the distribution of data, also to form the best generalized linear model with Gamma distribution and linear regression model.