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Regularity characterization of asymptotically probability equivalent sequences

✍ Scribed by Richard F. Patterson; Ekrem Savaş


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
285 KB
Volume
22
Category
Article
ISSN
0893-9659

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✦ Synopsis


The notion of asymptotically equivalent sequences was presented by Pobyvanets in 1980. Using this definition, he presented Silverman-Toeplitz-type matrix conditions that ensure that a summability matrix preserves asymptotic equivalency. This work begins with an extension of Pobyvanets' definition of convergence in probability. This definition is also used to present Silverman-Toeplitz-type conditions for ensuring that a summability matrix preserves asymptotic probability equivalence. In addition, we shall also present a Marouftype characterization of such a sequence space.


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In this paper we give equivalent conditions on the central limit theorem in total variation norm for a sequence of probability measures on ~. This generalizes Cacoullos, Papathanasiou and Utev's central limit theorem in Lt-norm for a sequence of probability density functions on R. We also give equiv