On Fitting Live-Streaming Data: A Level Three Polynomial Component Probability Model Development.

Okolo Chiemeka Nwankwor; Kenneth Kevin Uadiale; Emeka Emmanuel Otti

doi:10.52589/AJMSS-RDFCZYVM

On Fitting Live-Streaming Data: A Level Three Polynomial Component Probability Model Development. | AB Journals

On Fitting Live-Streaming Data: A Level Three Polynomial Component Probability Model Development.

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African Journal of Mathematics and Statistics Studies

Vol. 7Issue 32024pp. 79–94Published 8 August 2024

DOI 10.52589/AJMSS-RDFCZYVM

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Abstract:

A new probability distribution termed Stream distribution is proposed and studied. This distribution is a mathematical combination of level three polynomial components and exponential distribution. The mathematical and statistical properties of the development are studied, with empirical emphasis: on the inequality relationship within the measures of central tendency, and the coefficient of variation. The model parameter was estimated using the method of maximum likelihood, where the asymptotic and consistent properties are numerically studied as well. The flexibility of Stream distribution is shown, through an application to a Live-Streaming data set and showed high efficiency in the inferential performance. The distribution is therefore recommended for forecasting needs in the light of live online audience engagement.

Keywords:Stream distribution Coefficient of variation Polynomial component Live-Streaming data Comparative analysis.

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