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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)
统计实验与显著性检验
101
3.8.2
 双向
ANOVA
A/B/C/D
检验是一种“单向”
ANOVA
,其中只有一个变化因子(组)。可以加入第二个因子
(比如“周末还是工作日”),然后按照每种因子组合(
A
组周末
A
组工作日、
B
组周末,
等等)来收集数据。这就是一种“双向”
ANOV
A
。可以通过识别“交互效果”来以与单向
ANOVA
同样的方式来处理双向
ANOV
A
。在识别出总平均效果和处理效果之后,可以分离
出每个组周末的观测和工作日的观测,并找出这些子集均值和处理均值之间的差异。
ANOVA
和双向
ANOV
A
是通向完整统计模型(比如回归和逻辑回归)之路的第一步。在
完整统计模型中,可以对多个因子以及它们的效果进行建模(参见第
4
)。
本节要点
ANOVA
是一种统计过程,用来对分为多个组的实验的结果进行分析。
ANOVA
A/B
测试的一种扩展,用来评估组间的整体变动是否在随机变动的范围内。
ANOVA
的一个有用结果是识别出方差成分,这些成分与组处理、交互效果和误差相关。
3.8.3
 扩展阅读
Peter
Bruce
的著作
Introductory Statistics and Analytics: A Resampling Perspective
中,
有一章专门介绍了
ANOV
A
George Cobb
的著作
Introduction to Design and Analysis of Experiments
对该书主题进行了
全面介绍,并且通俗易懂。
3.9
 卡方检验
Web
检验常常超出
A/B ...
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Publisher Resources

ISBN: 9787115569028