Statistical Analysis Of Strategic Market Management Based On Neuro-Fuzzy Model Of Human Nature, Poisson Process And Renewal Theory

Authors

  • Prasun Chakrabarti
  • Biswajit Satpathy
  • Hati Ananda Shankar
  • R B Bapat
  • Husnain R Sherazi
  • Sandeep Poddar
  • Jonathan Andrew Ware

Keywords:

Strategic Market Management, Fuzzy Estimate, Poisson Process, Renewal Theory, Complex Variable

Abstract

The paper points out several novel facts regarding statistical analysis of strategic market management based on fuzzy estimation, Poisson process, and renewal theory. If the prediction of occurrence of gain, which is in strategic market management and is done by a normal individual, is built upon the estimate of the weight of a single associated limit and theory of fairness by the doubtful individual is forbidden, then for unit negative bias, the estimation of the weight of the single parameter by either the past or analytical means is carried out by a normal person is always signified as a complex variable. Accuracy estimateof the future calculation of incidence of an ambiguous event ( gain or loss ) is controlled by the basis of the hypothesis of fairness rule in case of both optimistic and pessimistic persons. The null hypothesis of the authenticity of an unknown event ( gain or loss ) for a biased individual is equal to the different hypothesis of the same fora normal person.

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Published

2023-12-21

How to Cite

Prasun Chakrabarti, Biswajit Satpathy, Hati Ananda Shankar, R B Bapat, Husnain R Sherazi, Sandeep Poddar, & Jonathan Andrew Ware. (2023). Statistical Analysis Of Strategic Market Management Based On Neuro-Fuzzy Model Of Human Nature, Poisson Process And Renewal Theory. Elementary Education Online, 19(4), 7146–7159. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/5638

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Articles