基于Holt-Winter滤波和残差分析的短期保险赔付预测

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-03-06 DOI:10.18187/pjsor.v19i1.4215

Moustafa Salem, Mohamed G. Khalil

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引用次数: 4

摘要

时间序列对于预测各种索赔支付应用程序至关重要。对于保险公司来说，为了防止潜在的未来索赔带来的重大损失，预测索赔的未来价值至关重要。此外，理想参数是人为选择的。通过实际应用，验证了该模型的实用性。此外，理想参数是人为选择的。通过实际应用，验证了该模型的实用性。在Holt-Winters加性算法下，采用单指数平滑模型进行预测。

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Short-Term Insurance Claims Payments Forecasting with Holt-Winter Filtering and Residual Analysis

Time series are essential for anticipating various claims payment applications. For insurance firms to prevent significant losses brought on by potential future claims, the future values of predicted claims are crucial. Additionally, the ideal parameter is chosen artificially. By using a genuine application, the proposed model’s utility is demonstrated. Additionally, the ideal parameter is chosen artificially. By using a genuine application, the proposed model's utility is demonstrated. Also, the single exponential smoothing model is used for prediction under the Holt-Winters’ additive algorithm.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.