Parametric Methodologies for Detecting Changes in Maximum Temperature of Tlaxco, Tlaxcala, México

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2019-12-16 DOI:10.1155/2019/3580692

Silvia Herrera Cortés, Bulmaro Juárez Hernández, Víctor Hugo Vázquez Guevara, H. A. Cruz Suárez

引用次数: 0

Abstract

In this paper, comparison results of parametric methodologies of change points, applied to maximum temperature records from the municipality of Tlaxco, Tlaxcala, Mexico, are presented. Methodologies considered are likelihood ratio test, score test, and binary segmentation (BS), pruned exact linear time (PELT), and segment neighborhood (SN). In order to compare such methodologies, a quality analysis of the data was performed; in addition, lost data were estimated with linear regression, and finally, SARIMA models were adjusted.

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检测墨西哥特拉克斯科、特拉斯卡拉最高温度变化的参数方法

本文介绍了应用于墨西哥特拉斯卡拉市特拉斯科市最高气温记录的变化点参数方法的比较结果。考虑的方法有似然比检验、分数检验和二元分割（BS）、修剪精确线性时间（PELT）和分割邻域（SN）。为了比较这些方法，对数据进行了质量分析；此外，采用线性回归方法对损失数据进行估计，最后对SARIMA模型进行了调整。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.