Results 21 to 30 of about 2,360,918 (312)
Rough statistical convergence of double sequences in intuitionistic fuzzy normed spaces
Journal of New Results in Science, 2022 This paper proposes rough convergence and rough statistical convergence of a double sequence in intuitionistic fuzzy normed spaces. It then defines the rough statistical limit points and rough statistical cluster points of a double sequence in these ...
Aykut Or, Ahmet Özcan
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$\mu$-statistical convergence and the space of functions $\mu$-stat continuous on the segment
Karpatsʹkì Matematičnì Publìkacìï, 2021 In this work, the concept of a point $\mu$-statistical density is defined. Basing on this notion, the concept of $\mu$-statistical limit, generated by some Borel measure $\mu\left(\cdot \right)$, is defined at a point.
S.R. Sadigova
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rox: A Statistical Model for Regression with Missing Values
Metabolites, 2023 High-dimensional omics datasets frequently contain missing data points, which typically occur due to concentrations below the limit of detection (LOD) of the profiling platform.
Mustafa Buyukozkan +2 more
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Antiferromagnetism in four dimensions: search for non-triviality [PDF]
, 1996 We present antiferromagnetism as a mechanism capable of modifying substantially the phase diagram and the critical behaviour of statistical mechanical models.
A. Tarancón +14 more
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On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]
Neutrosophic Sets and SystemsThis article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
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Alternative statistical-mechanical descriptions of decaying two-dimensional turbulence in terms of "patches" and "points" [PDF]
, 2002 Numerical and analytical studies of decaying, two-dimensional (2D) Navier-Stokes (NS) turbulence at high Reynolds numbers are reported. The effort is to determine computable distinctions between two different formulations of maximum entropy predictions ...
Clercx, H. J. H. +2 more
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Studia Universitatis Babes-Bolyai Chemia, 2022 This study aimed to develop and validate an HPLC method in order to assay the indomethacin from therapeutic transdermal systems (TTS). A TTS with indomethacin and HPMC15k as a film-forming agent was developed.
Paula ANTONOAEA +5 more
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Lacunary Statistical Limit Points in Random 2-Normed Spaces [PDF]
ISRN Mathematical Analysis, 2013 We introduce the notionθ-cluster points, investigate the relation betweenθ-cluster points and limit points of sequences in the topology induced by random 2-normed spaces, and prove some important results.
GÜNCAN, Ayşe Nur +2 more
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Novi Sad Journal of Mathematics, 2020 Summary: In this paper, we introduce the notions of \(\mathcal{I} \)-statistical limit points and \(\mathcal{I} \)-statistical cluster points for a sequence in probabilistic normed spaces and study some basic properties of the sets of all \(\mathcal{I} \)-statistical limit points and \(\mathcal{I} \)-statistical cluster points of a sequence in ...
Das, Samiran, Ghosh, Argha
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Limit distribution theory for smooth p-Wasserstein distances [PDF]
The Annals of Applied Probability, 2022 The Wasserstein distance is a metric on a space of probability measures that has seen a surge of applications in statistics, machine learning, and applied mathematics. However, statistical aspects of Wasserstein distances are bottlenecked by the curse of
Ziv Goldfeld +3 more
semanticscholar +1 more source