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- W2918189870 abstract "In this paper, we present a regression model where the response variable is a count data that follows a Waring distribution. The Waring regression model allows for analysis of phenomena where the Geometric regression model is inadequate, because the probability of success on each trial, $p$, is different for each individual and $p$ has an associated distribution. Estimation is performed by maximum likelihood, through the maximization of the $Q$-function using EM algorithm. Diagnostic measures are calculated for this model. To illustrate the results, an application to real data is presented. Some specific details are given in the Appendix of the paper." @default.
- W2918189870 created "2019-03-11" @default.
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- W2918189870 date "2019-05-01" @default.
- W2918189870 modified "2023-09-26" @default.
- W2918189870 title "Influence measures for the Waring regression model" @default.
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- W2918189870 doi "https://doi.org/10.1214/18-bjps395" @default.
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