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Browsing WOS İndeksli Yayınlar Koleksiyonu / WOS Indexed Publications Collection by Author "Patterson, Richard F."

Browsing WOS İndeksli Yayınlar Koleksiyonu / WOS Indexed Publications Collection by Author "Patterson, Richard F."

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  • Gauge strongly summability of measurable functions 
    Savas, Rabia; Patterson, Richard F. (NORTH UNIV BAIA MARE, 2021)
    During the late 50's and early 60's, the notion of Gauge integral was presented by Kurzweil and Henstock, independently. The purpose of this paper is to extend this concept to Summability theory. To accomplish this, we ...
  • GENERALIZATION OF STATISTICALLY CONVERGENT 
    Savas, Rabia; Patterson, Richard F. (INST MATHEMATICS, 2020)
    In the late 1950's and early 1960's Kurzweil and Henstock presented the concept of Gauge integral. Following their results, Savas and Patterson extended this concept to summability theory by considering f(psi) real valued ...
  • I-2-LACUNARY STRONGLY SUMMABILITY FOR MULTIDIMENSIONAL MEASURABLE FUNCTIONS 
    Sava, Rabia; Patterson, Richard F. (PUBLICATIONS L INSTITUT MATHEMATIQUE MATEMATICKI, 2020)
    Let I-2 subset of P(N x N) be a nontrivial ideal. We provide a new approach to the concept of 12-double lacunary statistical convergence and I-2-lacunary strongly double summable by taking (tau, nu), which is a multidimensional ...
  • Multidimensional Linear Functional Connected with Double Strong Cesaro Summability 
    Patterson, Richard F.; Savas, Rabia; Savas, Ekrem (INDIAN NAT SCI ACAD, 2020)
    In 1964 Borwein presented functional characterization of the normed linear spaces w(p) and W-p. These two spaces are clearly linked to Cesaro summability [C, 1] in particular it should be noted that a sequence x in w(p) ...
  • Summability approximation theorems of double random variables 
    Savas, Rabia; Patterson, Richard F. (TAYLOR & FRANCIS INC, 2021)
    In 1971, Chow and Teicher presented a probability approximation Theorem via summability methods. The goal of this article is to extend Chow and Teicher results to higher dimension. To achieve this we consider multidimensional ...