1 Affiliation : Department of Mathematcs, Hindustan Institute of Technology & Science, Chennai-603 103, India
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2 Affiliation : Regional Center for the Professions of Education and Training, Casablanca-Settat, Morocco
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3 Affiliation : Laboratory of Information processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco
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4 Affiliation : Research Scholar, Department of Mathematcs, Hindustan Institute of Technology & Science, Chennai-603 103, India
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Neutrosophical probability is concerned with inequitable and defective topics and processes. This is a subset of Neutrosophic measures that includes a prediction of an event (as opposed to indeterminacy) as well as a prediction of some unpredictability. When there is no such thing as a non-stochastic occurrence, the Neutrosophic probability is the probability of determining a stochastic process. It is a generalisation of classical probability, which states that the probability of correctly predicting an occurrence is zero. Until now, neutrosophic probability distributions have been derived directly from conventional statistical distributions, with fewer contributions to the determination of the for statistical distribution. We introduced the Poission distribution as a limiting case of the Binomial distribution for the first time in this study, and we also proposed Neutrosophic Exponential Distribution and Uniform Distribution for the first time. With numerical examples, the validity and soundness of the proposed notions were also tested.
Neutrosophic Statistics , Poisson , Uniform , Exponential , Probability distribution
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