The Art of Statistics pdf epub mobi txt 电子书下载 2025

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David Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. He was also elected as President of the Royal Statistical Society for 2017-18. In addition to presenting documentaries on BBC4, he has appeared on Infinite Monkey Cage, BBC Horizon, and the Life Scientific, and he has been a guest columnist in the Times, Guardian, and New Scientist. Spiegelhalter was knighted for his services to statistics in 2014. He lives in Cambridge, UK.

出版者:Pelican

作者:David Spiegelhalter

出品人:

页数:448

译者:

出版时间:2019-3

价格:USD 21.48

装帧:Hardcover

isbn号码:9780241398630

丛书系列:

图书标签:

统计学
科普
统计
Statistics
数据科学
数学
数据
STATISTICS

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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.

In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial.

How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.

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挺不错的统计入门。我很少通读类似的书，所以缺乏横向比较。就感觉它在“数据是什么、从哪里来、怎么用”这些基本问题上比国内绝大多数教材写得好，更具人文性。

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Blinkist扫过。类似Lie with statistics，介绍了我们日常生活中常见的利用数据或者统计结果来达到自身特定目的小手段，例如平均的概念、因果性和关联性、反复实验直到得到想要的结果、数据的可视化展现、调查问卷上的文字游戏等等。算是统计学科普类书籍，讲述一些基本的逻辑概念。说到底，还是要独立思考，带着批判精神去看待数据和统计。

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例子都特别好，而且非常喜欢作者这种学科史的视角

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