On an integrated approach to member selection and parameter estimation for Pearson distributions (Q1061480)
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scientific article; zbMATH DE number 3911675
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On an integrated approach to member selection and parameter estimation for Pearson distributions |
scientific article; zbMATH DE number 3911675 |
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On an integrated approach to member selection and parameter estimation for Pearson distributions (English)
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1984
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A sequential parameter selection and a fitting to a Pearson density distribution through special loss functions are discussed. Such loss functions can be the log-likelihood: ln f(x\({}_ i;\mu,\sigma^ 2,\sqrt{\beta_ 1},\beta_ 2)\). A numerical example is given. Analytical derivatives of Pearson density functions are provided.
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estimation of distribution parameters
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loss functions
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Pearson distributions
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0.8743323
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0.83771884
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0.8364288
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0.8287449
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