How Not to Be Wrong

How Not to Be Wrong pdf epub mobi txt 电子书 下载 2025

出版者:Penguin Press
作者:Jordan Ellenberg
出品人:
页数:480
译者:
出版时间:2014-5-29
价格:USD 27.95
装帧:Hardcover
isbn号码:9781594205224
丛书系列:
图书标签:
  • 数学
  • 思维
  • 科普
  • 英文原版
  • 方法论
  • Mathematics
  • 英文版
  • 美国
  • 数学思维
  • 逻辑推理
  • 生活智慧
  • 批判性思维
  • 概率论
  • 统计学
  • 问题解决
  • 数学应用
  • 日常决策
  • 思维训练
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具体描述

The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.

Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?

作者简介

Jordan Ellenberg is a professor of mathematics at the University of Wisconsin-Madison, with a Ph.D. in mathematics from Harvard and an MFA in creative writing from Johns Hopkins. His areas of research specialization are number theory and algebraic geometry. He has written articles on mathematical topics in the New York Times, the Washington Post, Wired, the Wall Street Journal, the Boston Globe, and the Believer, and is a regular columnist for Slate.

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目录信息

CONTENTS
Title Page
Copyright
Dedication
Epigraph

WHEN AM I GOING TO USE THIS?
PART I
Linearity
One. LESS LIKE SWEDEN
Two. STRAIGHT LOCALLY, CURVED GLOBALLY
Three. EVERYONE IS OBESE
Four. HOW MUCH IS THAT IN DEAD AMERICANS?
Five. MORE PIE THAN PLATE
PART II
Inference
Six. THE BALTIMORE STOCKBROKER AND THE BIBLE CODE
Seven. DEAD FISH DON’T READ MINDS
Eight. REDUCTIO AD UNLIKELY
Nine. THE INTERNATIONAL JOURNAL OF HARUSPICY
Ten. ARE YOU THERE, GOD? IT’S ME, BAYESIAN INFERENCE
PART III
Expectation
Eleven. WHAT TO EXPECT WHEN YOU’RE EXPECTING TO WIN THE LOTTERY
Twelve. MISS MORE PLANES!
Thirteen. WHERE THE TRAIN TRACKS MEET
PART IV
Regression
Fourteen. THE TRIUMPH OF MEDIOCRITY
Fifteen. GALTON’S ELLIPSE
Sixteen. DOES LUNG CANCER MAKE YOU SMOKE CIGARETTES?
PART V
Existence
Seventeen. THERE IS NO SUCH THING AS PUBLIC OPINION
Eighteen. “OUT OF NOTHING I HAVE CREATED A STRANGE NEW UNIVERSE”
HOW TO BE RIGHT

Acknowledgments
Notes
Index
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读后感

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《魔鬼数学》里有一段话,是业内的实操。 - 事实上,信奉贝叶斯定理的统计学家通常对显著性检验不屑一顾,他们对“该新药是否有疗效”之类的问题不感兴趣,他们更关注如何建立一个预测模型,以便更准确地判断该药物的不同剂量在针对不同人群时可以取得什么样的疗效。即使真的用...  

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《魔鬼数学》:美丽又神秘的随机性,以素数为例,告诉你,数轴上素数的分布尽管是无限的,但也是有规律的。广义上说,任何数被素数除后的余数是随机的,但素数本身看起来出现的规律目前并没有解答出。张益唐将孪生素数之间的距离缩小到7000万以内,现在最新的进展是彼此间不大...  

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《魔鬼数学》:美丽又神秘的随机性,以素数为例,告诉你,数轴上素数的分布尽管是无限的,但也是有规律的。广义上说,任何数被素数除后的余数是随机的,但素数本身看起来出现的规律目前并没有解答出。张益唐将孪生素数之间的距离缩小到7000万以内,现在最新的进展是彼此间不大...  

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数学这门学科似乎被误解很深,在大多数人眼里,数学是枯燥乏味的计算,是艰深复杂的公式和符号,是数学奥林匹克竞赛。但是另一方面,数学家试图告诉你“数学好玩”,数学可以深入到日常生活中的应用当中去。 美国威斯康辛大学数学教授乔丹·艾伦伯格在《How Not to be Wrong》...  

用户评价

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“Maybe individual people seem irrational because they aren’t really individuals. Each one of us is a little nation-state, doing our best to settle disputes and broker compromises between the squabbling voices that drive us.”

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statistical inference科普

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cant even finish it... too general and too common sense

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看看

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虽然上学时一直数学苦手,但这本书必须五星推荐 - Mathematics is common sense by other means!

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