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时间序列分析实战:基于机器学习和统计学
book

时间序列分析实战:基于机器学习和统计学

by Aileen Nielsen
December 2022
Intermediate to advanced
376 pages
11h 30m
Chinese
Posts & Telecom Press
Content preview from 时间序列分析实战:基于机器学习和统计学
时间序列:概述和简史
5
1.1.2
 气象预测
显然天气预报是被许多人经常关注的。古希腊哲学家亚里士多德就曾深入专研天气,并著
有完整的论文(“
Meteorology
)。他对天气的因果关系的见解,直到文艺复兴时期仍然占
主导地位。也自从那时起,科学家借助气压计等新发明的仪器,收集与天气有关的数据,
测量大气状况。他们每天或每隔一小时便使用这些仪器进行测量,来收集时间序列数据。
这些记录的保存方式各异,既可能保存在私人日记里,也可能保存在地方志里。长久以
来,这是西方国家追踪天气变化的唯一途径。
19
世纪
50
年代
,当
Robert FitzRoy
被任命为新的英国政府部门负责人以记录和发布与水
2
有关的天气数据时,气象记录的格式和设备都得到了较大的发展。另外,他还创造了
weather
forecast
”(天气预报)一词。当时,他因预测得不准确而饱受批评,但现在他被
公认为领先于时代的先驱。首次天气预报由《泰晤士报》刊登,这培养出了人们在报纸上
查阅天气预报的习惯。现在,
FitzRoy
被誉为“预测之父”
19
世纪末期
(许多天气测量手段已经使用了数百年之后),电报使得人们可以从不同位
置按时间序列快速整理天气数据。这在
19
世纪
70
年代成为世界许多地方的标准
,并出现
了首个有重大意义的数据集,让人们可以利用其他地点的天气情况来预测当地天气。
到了
20
纪初,借助收集到的气象数据,人们大力推广了采用数值计算方法进行天气预
报的想法。但早期的天气计算工作需要付出巨大的努力,其准确性却往往很差。这是因
为,尽管科学家对相关的自然法则已有了充分的认识,但无法全部结合起来使用 ...
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Publisher Resources

ISBN: 9787115605443