Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)

Statistical Analysis on the Book Borrowing Quantity of University Library—Taking Qilu University of Technology as an Example

Authors
Yulin Huang, Zhongshang Liu, Yongxue Liu, Wenrui Qu
Corresponding Author
Wenrui Qu
Available Online 16 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201214.023How to use a DOI?
Keywords
Library Borrowing Loan Amount, Deterministic seasonal model, ARIMA model, Possion log-linear model
Abstract
According to the library book borrowing amount data from June 2013 to December 2018 at Qilu University of Technology (Shandong Academy of Sciences), this work studied the statistical laws of data series of borrowing quantity. Based on the combination of seasonal effects, long-term trends, and random factors, a deterministic seasonal model and an ARIMA seasonal model were established for the loan quantity series. The modeling and simulation obtained well-fitting and forecasting effects, and the borrowing quantity showed periodic fluctuation and rising slowly. Furthermore, a possion logarithmic linear model was established to obtain a significant difference between male and female students in different grades. The results disclosed that the volume of books borrowed is lower in freshman, higher in sophomore and junior, and lower in the senior year. Besides, female students generally borrow more books than male students. The research results are expected to offer a useful reference for researchers majoring in book management.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yulin Huang
AU  - Zhongshang Liu
AU  - Yongxue Liu
AU  - Wenrui Qu
PY  - 2020
DA  - 2020/12/16
TI  - Statistical Analysis on the Book Borrowing Quantity of University Library—Taking Qilu University of Technology as an Example
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 129
EP  - 135
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.023
DO  - https://doi.org/10.2991/assehr.k.201214.023
ID  - Huang2020
ER  -