Parameter estimation using generating function based minimum power divergence measure / Tay Siew Ying

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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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Bibliographic Details
Main Author:	Tay, Siew Ying
Format:	Thesis
Published:	2018
Subjects:	Q Science (General)
Online Access:	http://studentsrepo.um.edu.my/9535/ http://studentsrepo.um.edu.my/9535/1/Tay_Siew_Ying.pdf http://studentsrepo.um.edu.my/9535/9/siew_ying.pdf

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