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	Mean regression model for the zero-truncated Poisson distribution and its generalization Journal article Computational Statistics and Data Analysis,2023, volume: 179 Authors: Li, Xunjian; Sun, Yuan; Tian, Guoliang; Liang, Jiajuan; Shi, Jianhua Favorite \| View/Download：4/0 \| Submit date：2023/04/18 Embedded Newton–Raphson algorithm k-truncated Poisson Mean regression Minorization–maximization algorithm Zero-truncated Poisson
	Focused information criteria, model selection, and model averaging in a Tobit model with a nonzero threshold Journal article Journal of Business and Economic Statistics,2012, volume: 30, issue: 1, pages: 132-142 Authors: Zhang，Xinyu; Wan，Alan T.K.; Zhou，Sherry Z. Favorite \| View/Download：1/0 \| Submit date：2022/01/12 Backward elimination Censored regression LINEX errors Local misspecification Mean absolute deviation Mean squared error Model screening Monte carlo
	Focused information criteria, model selection and model averaging in a Tobit model with a nonzero threshold Journal article Journal of business & economic statistics,2012, volume: 30, issue: 1, pages: 132-142 Authors: Zhang, Xinyu; Wan, Alan T. K; Zhou, Sherry Zhefang Favorite \| View/Download：7/0 \| Submit date：2022/01/14 Backward elimination LINEX errors Local misspecification Mean absolute deviation Mean squared error Model screening Monte carlo Censored regression
	Outliers and influential observations in ridge mean shift regression Journal article Systems Science and Mathematical Sciences,1995, volume: 8, issue: 1, pages: 12-26 Authors: Pan, Jianxin; XIONG, Haiyan Favorite \| View/Download：1/0 \| Submit date：2022/03/22 Outliers influential observations ridge mean shift regression ridge residuals