On the use of fuzzy C-regression truncated models for health indicator in intensive care unit
Two new techniques for clustering data, namely the fuzzy c-regression truncated models (FCRTM) and fuzzy c-regression least quartile difference (LQD) models (FCRLM) were proposed in this thesis in analyzing a nonlinear model. These new models include their functions, the estimation techniques and th...
Saved in:
Main Author: | Rusiman, Mohd. Saifullah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/32330/1/Mohd.Saifullah%20RusimanPFS2012.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Regression models for censored and truncated count data with excess zeros
by: Saffari, Seyed Ehsan
Published: (2012) -
Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018) -
Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
by: Mohd Rahman, Hamijah
Published: (2014) -
Intensive care experience among intensive care unit survivors /
by: Suzilawati Mohamed Ariffin
Published: (2015) -
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
by: Shafi, Muhammad Ammar
Published: (2015)