Researcher at Fujian Jiangxia University Has Published New Data on Mathematical Problems in Engineering (Multiscale Forecasting Approach of Property Insurance Income via Wavelet Method): Engineering – Mathematical Problems in Engineering

2022 MAY 27 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on mathematical problems in engineering are presented in a new report. According to news reporting originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “A multiscale prediction algorithm was presented in this paper based on the monthly data of property insurance income of Zhejiang Province from February 2013 to May 2018, and the correlation of the wavelet coefficients for property insurance income was also discussed at different time scales.”

Our news editors obtained a quote from the research from Fujian Jiangxia University: “By ADF tests, the stability of nonlinear approximation data and detail data were given. Furthermore, the prediction algorithm of nonlinear trend and detail data was studied according to the wavelet decomposition formula and the autoregressive moving average (ARMA) model.”

According to the news editors, the research concluded: “Finally, the short-term prediction results from June 2018 to January 2019 were given by the wavelet reconstruction formula. Compared to the prediction results of the traditional ARMA model, the relative error of the prediction results in this paper is smaller and better.”

For more information on this research see: Multiscale Forecasting Approach of Property Insurance Income via Wavelet Method. Mathematical Problems in Engineering, 2022,2022. (Mathematical Problems in Engineering - https://www.hindawi.com/journals/mpe/). The publisher for Mathematical Problems in Engineering is Hindawi Limited.

A free version of this journal article is available at https://doi.org/10.1155/2022/9554695.

Our news journalists report that additional information may be obtained by contacting Li-Wei Lin, College of Business Administration, Fujian Jiangxia University, Fuzhou 350108, People’s Republic of China. Additional authors for this research include Xiao-Hui Zhou.

ORCID is an identifier for authors and includes bibliographic information. The following is ORCID information for the authors of this research: Li-Wei Lin (http://orcid.org/0000-0002-1937-8244), Xiao-Hui Zhou (http://orcid.org/0000-0002-7189-0915).

(Our reports deliver fact-based news of research and discoveries from around the world.)