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- W2808109674 abstract "In this article, the parameters of a hybrid log-linear model (log-Poisson) are estimated using the fuzzy least-squares (FLS) procedures (Celmiņs, 987a,b, D'Urso and Gastaldi, 2000, DUrso and Gastaldi, 2001). A goodness of fit have been derived in order to assess and compare this new model and the classical log-Poisson regression in loss reserving framework (Mack, 1991). Both the hybrid model and its goodness of fit are performed on a loss reserving data." @default.
- W2808109674 created "2018-06-21" @default.
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- W2808109674 date "2018-06-10" @default.
- W2808109674 modified "2023-09-27" @default.
- W2808109674 title "A Least Squares Estimation of a Hybrid log-Poisson Regression and its Goodness of Fit for Optimal Loss Reserves in Insurance" @default.
- W2808109674 hasPublicationYear "2018" @default.
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