Parameter estimation using generating function based minimum power divergence measure / Tay Siew Ying
This research proposes a parameter estimation method that minimizes a probability generating function (pgf) based power divergence with a tuning parameter to mitigate the impact of data contamination. Special cases arise when the tuning parameter approaches zero, resulting in a Kullback-Leibler t...
Saved in:
主要作者: | Tay, Siew Ying |
---|---|
格式: | Thesis |
出版: |
2018
|
主题: | |
在线阅读: | http://studentsrepo.um.edu.my/9535/1/Tay_Siew_Ying.pdf http://studentsrepo.um.edu.my/9535/9/siew_ying.pdf http://studentsrepo.um.edu.my/9535/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Parameter estimation by minimizing a probability generating function-based power divergence
由: Tay, Siew Ying, et al.
出版: (2019) -
Use of anion clay hydrotalcite to remove coloured organics from aqueous solutions / Yamin Yasin, Lim Ying Chin and Lim Ying Siew
由: Yasin, Yamin, et al.
出版: (2006) -
Using mouse embryonic fibroblast (MEF) as feeder cells for production of embryonic stem cell (ESC) line in the murine and caprine / Goh Siew Ying
由: Goh, Siew Ying
出版: (2012) -
Drug repositioning based on centrality measures of drug side effects network / Keng Ying Ying
由: Keng , Ying Ying
出版: (2021) -
Sistem kerjaya / Tay Kim Seng
由: Tay, Kim Seng
出版: (2003)