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数据科学中的实用统计学(第2版)
book

数据科学中的实用统计学(第2版)

by Peter Bruce, Andrew Bruce, Peter Gedeck
October 2021
Intermediate to advanced
289 pages
8h 31m
Chinese
Posts & Telecom Press
Content preview from 数据科学中的实用统计学(第2版)
60
2
2-11:从标准正态分布中抽取包含 100 个值的样本的 QQ
将数据转换为
z
分数(即对数据进行标准化或归一化)并不能使数据服从
正态分布,这只能使数据与标准正态分布处于同一尺度,通常是为了进行
比较。
本节要点
在统计学发展史中,正态分布占有极其重要的地位,因为它可以对不确定性和变异
性进行数据近似。
尽管原始数据通常不是正态分布的,但误差通常是正态分布的,大样本中的均值和
总数也是如此。
要想把数据转换为
z
分数,需要先减去均值,再除以标准差。然后,可以将数据与
正态分布进行比较。
2.7
 长尾分布
虽然正态分布在统计学历史中非常重要,但恰恰与它的名称相反,数据通常是不服从正态
分布的。
数据与抽样分布
61
本节关键术语
频数分布中长且窄的部分,其中相对极端的值的出现频数很低。
偏斜
分布一端的尾部长于另一端的尾部。
对于误差和样本统计量,通常适合使用正态分布来进行分析,但原始数据一般不服从正态
分布。有时候,原始数据的分布是高度
偏斜
(不对称)的,比如收入数据;分布也可能是
离散的,比如二项式数据。不论分布对称与否,它们都可能具有
长尾
特性。分布的尾部对
应于极端值(极大或极小)。在实际工作中,长尾现象非常普遍,其防范措施也备受关注。
纳西姆
塔勒布提出了
黑天鹅
理论,该理论预测异常事件 ...
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Publisher Resources

ISBN: 9787115569028