On estimation and influence measures for the Negative Binomial regression model based on Q-function
暂无分享,去创建一个
[1] Wagner Barreto-Souza,et al. General mixed Poisson regression models with varying dispersion , 2015, Statistics and Computing.
[2] R. Dennis Cook,et al. Detection of Influential Observation in Linear Regression , 2000, Technometrics.
[3] J. Hilbe. Negative Binomial Regression: Index , 2011 .
[4] D. Karlis. A general EM approach for maximum likelihood estimation in mixed Poisson regression models , 2001 .
[5] J. Ibrahim,et al. Perturbation selection and influence measures in local influence analysis , 2007, 0803.2986.
[6] Feng-Chang Xie,et al. Influence analysis for Poisson inverse Gaussian regression models based on the EM algorithm , 2007 .
[7] D. Karlis. EM Algorithm for Mixed Poisson and Other Discrete Distributions , 2005, ASTIN Bulletin.
[8] Sik-Yum Lee,et al. Local influence for incomplete data models , 2001 .
[9] D. Pregibon. Logistic Regression Diagnostics , 1981 .
[10] R. Cook. Assessment of Local Influence , 1986 .
[11] Perturbation Selection and Local Influence Analysis for Nonlinear Structural Equation Model , 2009 .
[12] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[13] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[14] Bo-Cheng Wei,et al. Case-deletion measures for models with incomplete data , 2001 .
[15] G. A. Paula,et al. Diagnostics in Nonlinear Negative Binomial Models , 2003 .
[16] Manuel Galea,et al. Influence measures on corrected score estimators in functional heteroscedastic measurement error models , 2013, J. Multivar. Anal..