Search
ChatPaper
AI Writing
analysis
Analysis
编组
Open Data
more
More
RankingsMust ReadingJournal&ConferenceAI TRAI HistoryMaster Reading TreeXiaomai's Star TalentsTrajectoryTalentNDI TrackerAI sign LanguageOpen
VIPCreated with Sketch.

基于SARIMA模型的南京地区蚊虫侵害的预测研究

孙燕群,张守刚,陆墨原,张艳, 潘衍宇,王冲,吴起新,姚美雪,李成国

Journal of Nanjing Medicial University（2022）

Cited 0|Views8
No score
Abstract
目的:基于南京地区蚊虫侵害密度,建立季节性差分自回归移动平均模型预测方法,为进一步防控蚊媒病和开展爱国卫生运动提供新的思路和方法.方法:应用季节性差分自回归移动平均模型对2019年蚊虫密度进行预测.结果:拟合后的预测模型为ARIMA(2,1,0)(1,1,0)12,模型残差序列为白噪声,模型预测拟合后R2=0.907.结论:模型预测的拟合效果较好,说明ARIMA模型适用于开展蚊虫侵害预测研究.
More
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined