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- W2005599694 abstract "We investigate robust M-estimators of location and over-dispersion for independent and identically distributed samples from Poisson and Negative Binomial (NB)distributions. We focus on asymptotic and small-sample efficiencies, outlier-induced biases, and biases caused by model mis-specification. This is important information for assessing the practical utility of the estimation method. Our results demonstrate that resonably efficient estimation of location and over-dispersion parameters for count data is possible with samples sizes as small as n=25. The sensitivity of these stimators, especially when the amount of over-dispersion is small. We aslo conclude that serious biases result when using robust Poisson M-estimation with NB data. The biases are less serious when using robust NB M-estimation with Poisson data." @default.
- W2005599694 created "2016-06-24" @default.
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- W2005599694 date "2001-10-01" @default.
- W2005599694 modified "2023-09-26" @default.
- W2005599694 title "Properties of robust m-estimators for poisson and negative binomial data∗" @default.
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- W2005599694 doi "https://doi.org/10.1080/00949650108812122" @default.
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