Keywords : Variable selection


Bayesian Lasso Tobit regression

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2019, Volume 11, Issue 2, Pages 1-13

In the present research, we have proposed a new approach for model selection in Tobit regression. The new technique uses Bayesian Lasso in Tobit regression (BLTR). It has many features that give optimum estimation and variable selection property. Specifically, we introduced a new hierarchal model. Then, a new Gibbs sampler is introduced. We also extend the new approach by adding the ridge parameter inside the variance covariance matrix to avoid the singularity in the case of multicollinearity or in case the number of predictors greater than the number of observations. A comparison was made with other previous techniques applying the simulation examples and real data. It is worth mentioning, that the obtained results were promising and encouraging, giving better results compared to the previous methods.

On the class of multivalent analytic functions defined by differential operator for derivative of first order

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2019, Volume 11, Issue 1, Pages 80-86

In the submitted search ,by making use of Differential operator ,we drive coefficient bounds and some important properties of the subclass Ti(n,p,q,a, A) (P,j E N= {1,2,...}; q,n,E N0=N U {0};0<= a

Keywords

Multivalent function
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Coefficient bounds
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Distortion inequality
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- neighbourhood
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Differential operator
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integral and fractional operators .

Bayesian adaptive Lasso Tobit regression

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2019, Volume 11, Issue 1, Pages 1-10

In this paper, we introduce a new procedure for model selection in Tobit regression, we suggest the Bayesian adaptive Lasso Tobit regression (BALTR) for variable selection (VS) and coefficient estimation. We submitted a Bayesian hierarchical model and Gibbs sampler (GS) for our procedure. Our proposed procedure is clarified by means of simulations and a real data analysis. Results demonstrate our procedure performs well in comparison to further procedures.