Author(s)

Ruisheng Zhang ¹, Xinhong Liu ¹, Yanqi Zhang ¹, Xuanyi Jin ¹

Affiliation(s)

¹ Beijing Institute of Petrochemical Technology, Beijing, 102617, China

Corresponding Author

Xinhong Liu

ABSTRACT

Based on a systematic analysis of the data characteristics of unearthed glass relics, a GAMLSS model was established for the main components, which proved that introducing explanatory variables into the prediction of location and scale parameters can more effectively explain the heterogeneity and skewness characteristics of each main component. The correlation between glass type, decoration, surface weathering, and color was explored. The presence or absence of weathering components on the surface was predicted. The empirical results show that the GAMLSS model can not only provide a basis for the prediction of various components of glass relics, but also make the classification of glass more stable and reasonable. This provides a new reference for studying the origin of glass in China.

KEYWORDS

GAMLSS, SEP3 distribution, Normal distribution

CITE THIS PAPER

Ruisheng Zhang, Xinhong Liu, Yanqi Zhang, Xuanyi Jin, Application of GAMLSS Model in Analysis of Composition of Glass Relics in China. Transactions on Computational and Applied Mathematics (2024) Vol. 4: 41-47. DOI: http://dx.doi.org/10.23977/tracam.2024.040106.

REFERENCES

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[7] Liu Xinhong, Feng Yuan, Mi Haijie. The Application of GAMLSS Model in Car Insurance Pricing [J]. Mathematical Practice and Understanding, 2017, 47 (11): 1-8.
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