On ridge estimators for the negative binomial regression model

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Developing a Liu estimator for the negative binomial regression model: method and application (2013, result): “Based on the result from previous studies conducted by Månsson [8], we assume that increasing the number of observation leads to a lower estimated MSE while increasing the value of δ and the number of regressors leads to an increase of the estimated MSE.”
A two-parameter estimator in the negative binomial regression model (2014, unknown): “When k∗ = 0, following the idea of Månsson [10] we may choose D1 = max ( 0, α̂2max − 1 1/λ̂max + α̂2max ) .”