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A-Statistical Convergence

Authors: Yousuf, Saadia;

A-Statistical Convergence

Abstract

The present study is conducted to study a new type convergence, called A-statistical convergence. In the beginning of the study, the concept of infinite, non-negative regular matrices is introduced. Some basic properties of regular and conservative matrices are studied. These matrices play an important role in the theory of A-statistical convergence. Every non-negative regular matrix defines a density function. These density functions are then used to define some new type of convergences such as, statistical convergence, lacunary statistical convergence and lambda statistical convergence. A-statistical convergence is the extension of the other statistical type convergences. Statistical convergence, Lacunary statistical convergence and Lambda statistical convergences can be considered as the special cases of A-statistical convergence produced by different non-negative regular matrices.

Keywords

Mathematical Statistics, Gonvergence, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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