In this paper, we introduce the idea of deferred statistical convergence via concept regular variations. fact, study real sequences or measurable functions using ideas variations such as regular, O?regular, translational and rapid, etc, in perspective. We established some relations among these different

In this study, Neutrophic normed spaces, which is one of the popular mathematics topics recent times, discussed. The Neutrosophic approach, argues that it insufficient to evaluate problems in daily life as just right and wrong, based on principle degree indecision should be taken into account. Now, rough statistical convergence triple sequences defined spaces. Moreover, important topological pr...

Abstract A remarkable result on summability states that the statistical convergence and strong Cesàro are closely connected. Given a modulus function f , we will establish double sequence is -strong convergent always -statistically convergent. The converse, in general, false even for bounded sequences. However, characterize analytically functions which converse of this remains true. results pap...

While kernel canonical correlation analysis (kernel CCA) has been applied in many problems, the asymptotic convergence of the functions estimated from a finite sample to the true functions has not yet been established. This paper gives a rigorous proof of the statistical convergence of kernel CCA and a related method (NOCCO), which provides a theoretical justification for these methods. The res...