Statistics and application of multi logistic model and negative binomial model in data

Lianjie Li; Bolin Jing

doi:10.54691/bcpbm.v38i.3795

Authors

Lianjie Li
Bolin Jing

DOI:

https://doi.org/10.54691/bcpbm.v38i.3795

Keywords:

Model Analysis; Logistic; Random; statistical applications.

Abstract

Contemporarily, statistics are widely adopted in various disciplines to verify the effectiveness of the analysis results scientifically. This article demonstrates two applications of the statistical. To be specifical, it mainly investigates negative binomial model and the way to judge the determinacy of factors with the help of Multi Logistic model. For the former, the relative superiority of random parameter binomial model is discussed. According to the data analysis of a traffic accident in a certain place, it shows a better model fitting effect. Another case of poultry waste recycling was used to introduce and compare the using conditions and advantages of Multi Logistic model. These results shed light on guiding further exploration of applications of statistics.

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