Results 211 to 220 of about 3,575,082 (253)
Estimation of Greenhouse Gas Emission Factor During Hanwoo Manure Composting. [PDF]
Animals (Basel)Lee WJ, Park GW, Seo SC, Kim KY, Kim JK.
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Evaluation of Preclinical Class II Composite Restoration Performed by Dental Students Using Analytic Rubric Parameters. [PDF]
Adv Med Educ PractDaghrery A +8 more
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Improved BP Neural Network Ensemble Model for Asphalt Pavement Performance Prediction. [PDF]
Materials (Basel)Zuo X, Du Y, Zeng G, Almutairi AD.
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Kolmogorov-Smirnov-type test for dependently double-truncated durations: A copula approach. [PDF]
Lifetime Data AnalToparkus AM, Weißbach R.
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Numerical Functional Analysis and Optimization, 2008
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
exaly +4 more sources
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
exaly +4 more sources
ROUGH ?I-STATISTICAL CONVERGENCE [PDF]
, 2022 In this study, we examine rough.I-statistical convergence for difference sequences as an extension of rough convergence. We investigate the set of rough Delta I-statistical limit points of a difference sequence and analyze the results with proofs.
Kişi, Ömer +2 more
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Mathematica Slovaca, 2019
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
exaly +2 more sources
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
exaly +2 more sources