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P-asymptotically Equivalent in Probability

Authors: Richard F. Patterson; Ekrem Savaş;

P-asymptotically Equivalent in Probability

Abstract

In this paper we present the following definitions P-asymptotically equivalent probability of multiple $L$ and P-asymptotically probability regular. In addition to these definitions we asked and provide answers for the following questions. (1)If $x\stackrel{Probability}{\approx} y$ then what type of four dimensional matrices transformation will satisfy the following $\mu (Ax)\stackrel{Probability}{\approx} \mu (Ay)$? (2) If $[x]$ and $[y]$ are bounded double sequences that P-asymptotically converges at the same rate, then what are the necessary and sufficient conditions on the entries of any four dimensional matrix transformation $A$ that will ensure that $A$ sums $[x]$ and $[y]$ at the same P-asymptotic rate? (3) What are the conditions on the entries of four dimensional matrices that ensure the preservation of P-asymptotically convergence in probability?

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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).
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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.
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