In the United States, estimation of flood frequency quantiles at ungauged locations has been largely based on regional regression techniques that relate measurable catchment descriptors to flood quantiles. More recently, spatial interpolation techniques of point data have been shown to be effective for predicting streamflow statistics (i.e., flood flows and low-flow indices) in ungauged catchme...

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...

To enhance the efficacy of ganciclovir/herpes simplex virus thymidine kinase (GCV/HSV-TK) suicide gene therapy for nasopharyngeal cancer KB, we developed long-circulating liposome-encapsulated GCV, and evaluated cytotoxicity in vitro and in vivo. PEGylated liposome-encapsulated GCV (PEG-GCV-lipo) was prepared by the freeze-thawing method. In vitro experiments demonstrated that GCV from liposome...

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...

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...

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...

Typically, an optimal smoothing parameter in a penalized spline regression is determined by minimizing an information criterion, such as one of the Cp, CV and GCV criteria. Since an explicit solution to the minimization problem for an information criterion cannot be obtained, it is necessary to carry out an iterative procedure to search for the optimal smoothing parameter, i.e., a grid search m...