How Not to Be Wrong

How Not to Be Wrong pdf epub mobi txt 電子書 下載 2026

Jordan Ellenberg
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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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具體描述

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?

用戶評價

評分

##還算不錯的數學小書,不過應該是我數學不好的緣故

評分

##statistical inference科普

評分

##2016.07.24 - 2016.09.15 Summer Read

評分

作者Ellenbery開始將數學由簡單到復雜,解決問題由簡單到復雜分成四象限,該書著重講述簡單數學解決復雜問題這個象限。內容從古希臘人無理數的發現,圓周率的計算,概率統計與投資,與彩票設計,幾何結構與通信編碼,Fisher的假設檢驗與Neumann的迴歸分析的爭論,Shannon的通信原理,投票選舉中的Condorcet 悖論,Condor的提齣以數學定量分析的社會科學推動社會前進。整個書涉獵數學範圍很廣並且與當今社會的空間通信編碼,經濟,金融投資,社會發展緊密聯係,非常好。

評分

##雖然我對書中提到的大部分概念並不陌生,但仍然學到不少東西。作者把很多看似毫不相乾的概念或現象巧妙地聯係到一起,展現齣數學的美妙和無所不在。

評分

##有幾章看不懂

評分

##有幾章看不懂

評分

##statistical inference科普

評分

##math theory for dummies,但我真的不喜歡math。

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