Considering the importance of validation of customers in the cross-dock and since this is one of the problems of implementing cross-dock system in Iran, this study attempted to extract customer validation criteria. The purpose of the research is to eliminate the distrust of distributors in receiving the funds of the sent items and the statistical sample of this research is the experts of the sy...

The function bestglm selects the best subset of inputs for the glm family. The selection methods available include a variety of information criteria as well as cross-validation. Several examples are provided to show that this approach is sometimes more accurate than using the built-in R function step. In the Gaussian case the leaps-and-bounds algorithm in leaps is used provided that there are n...

In this paper new robust methods for tuning regularization parameters or other tuning parameters of a learning process for non-linear function estimation are proposed: repeated robust cross-validation score functions (repeated-CV Robust V −fold) and a robust generalized cross-validation score function (GCVRobust). Both methods are effective for dealing with outliers and non-Gaussian noise distr...

since the change of land use accrued in the iran, especially in northern iran, this research aims tocompare the spatial variability of soil properties in three adjacent land uses including cultivated by wheat lands, grazing lands and forest lands covered by juniperus sp,  fagus orientalis, quercus castanifolia, and acer velotinum species in kiasar region, mazandaran province, northern iran. som...

Generalized Additive Partial Linear Models (GAPLMs) are appealing for model interpretation and prediction. However, GAPLMs, the covariates degree of smoothing in nonparametric parts often difficult to determine practice. To address this selection uncertainty issue, we develop a computationally feasible Model Averaging (MA) procedure. The weights data-driven selected based on multifold Cross-Val...

The Cox model is the model of choice when analyzing right-censored and possibly left-truncated survival data. The present paper proposes a program to estimate the hazard function in a proportional hazards model and also to treat more complex observation schemes involving general censored and left-truncated data. The hazard function estimator is defined non-parametrically as the function which m...

Tikhonov regularization for projected solutions of large-scale ill-posed problems is considered. The Golub-Kahan iterative bidiagonalization is used to project the problem onto a subspace and regularization then applied to find a subspace approximation to the full problem. Determination of the regularization parameter for the projected problem by unbiased predictive risk estimation, generalized...

De-noising algorithms based on wavelet thresholding replace small wavelet coeecients by zero and keep or shrink the coeecients with absolute value above the threshold. The optimal threshold minimizes the error of the result as compared to the unknown, exact data. To estimate this optimal threshold, we use Generalized Cross Validation. This procedure does not require an estimate for the noise en...