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...

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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/
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