The present paper considers a q-analogue of an operator defined by Erku?-Duman et al. (Calcolo, 45(1):53–67, 2008) involving q-Lagrange polynomials in several variables. Korovkin type theorems the settings deferred weighted A-statistical convergence and power series method are investigated.

We prove limit theorems for the weighted quadratic variation of trifractional Brownian motion and n-th order fractional motion. Furthermore, a sufficient condition LP-convergence Gaussian processes is obtained as byproduct. As an application, we give statistical estimator self-similarity index These extend results Baxter, Gladyshev, Norvaisa.

in this paper, we generalize a theorem of shao [12] by assuming that is a sequence of linear negatively dependent random variables. also, we extend some theorems of chao [6] and thrum [14]. it is shown by an elementary method that for linear negatively dependent identically random variables with finite -th absolute moment the weighted sums converge to zero as where and is an array of real numbe...

In this paper, we study the concepts of Wijsman statistical convergence, Hausdorff statistical convergence and  Wijsman statistical Cauchy double sequences of sets and investigate the relationship between them.

in this paper we study the almost universal convergence of weighted sums for sequence {x ,n } of negatively dependent (nd) uniformly bounded random variables, where a, k21 is an may of nonnegative real numbers such that 0(k ) for every ?> 0 and e|x | f | =0 , f = ?(x ,…, x ) for every n>l.

We present a novel 3-D deformable model-based approach for accurate, robust, and automated tissue segmentation of brain MRI data of single as well as multiple magnetic resonance sequences. The main contribution of this study is that we employ an edge-based geodesic active contour for the segmentation task by integrating both image edge geometry and voxel statistical homogeneity into a novel hyb...