Parameter estimation by minimizing a probability generating function-based power divergence
Generating function-based statistical inference is an attractive approach if the probability (density) function is complicated when compared with the generating function. Here, we propose a parameter estimation method that minimizes a probability generating function (pgf)-based power divergence with...
Main Authors: | Tay, Siew Ying, Ng, Choung Min, Ong, Seng Huat |
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Format: | Article |
Published: |
Taylor & Francis
2019
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Subjects: |
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