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ROUGH STATISTICAL CONVERGENCE IN NEUTROSOPHIC NORMED SPACES
Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 2022In this study, Neutrophic normed spaces, which is one of the popular mathematics topics of recent times, is discussed. The Neutrosophic approach, which argues that it is insufficient to evaluate the problems in daily life as just right and wrong, is based on the principle that the degree of indecision should be taken into account.
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2021
The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
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The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
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Analysis of covariance under neutrosophic statistics
Journal of Statistical Computation and Simulation, 2022Abdulrahman AlAita, Muhammad Aslam
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Neutrosophic statistical analysis of split-plot designs
Soft Computing, 2023Abdulrahman AlAita +3 more
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Neutrosophic statistical convergence in Neutrosophic topology
Afrika Matematikaopenaire +1 more source
A critical assessment of neutrosophic statistical methods
Quality EngineeringWilliam H. Woodall +3 more
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