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:
相似書籍
-
Adjustment of an intensive care unit (ICU) data in fuzzy C-regression models
由: Rusiman, Mohd. Saifullah, et al.
出版: (2012) -
Analyzing the relationships between organ failure and recuperating ability of patients in intensive care units
由: Mohd. Daud, Zalina, et al.
出版: (2004) -
Modification of intensive care unit data using analytical hierarchy process and fuzzy C-means model
由: Rusiman, Mohd. Saifullah, et al.
出版: (2012) -
Application of zero-truncated count data regression models to air-pollution disease
由: Zulki Alwani, Z. I., et al.
出版: (2021) -
Bootstrap-based model selection in subset polynomial regression
由: Suparman, S., et al.
出版: (2018)