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...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2019
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/23270/ https://doi.org/10.1080/03610918.2018.1468462 |
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