Chance Rules

An Informal Guide to Probability, Risk, and Statistics

Brian S. Everitt

202 pages, parution le 01/04/2001

Ajouter à une liste

Indisponible

Résumé

Chance Rules tells the story of our appreciation of chance through history and the various ways it impacts our lives. You will read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen specialty. Along the way, the author uses many interesting examples to illustrate various aspects of chance, such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies, DNA profiling, health risks, clinical trials, and alternative therapies.

Contents

Preface
Acknowledgements

1 A Brief History of Chance 1
2 Tossing Coins and Having Babies 19
3 Dice 33
4 Gambling for Fun: Lotteries and Football Pools 43
5 "Serious" Gambling: Roulette, Cards, and Horse Racing 55
6 Balls, Birthdays, and Coincidences 81
7 Conditional Probability and the Reverend Thomas Bayes 91
8 Puzzling Probabilities 111
9 Taking Risks 121
10 Statistics, Statisticians, and Medicine 137
11 Alternative Therapies: Panaceas or Placebos? 157
12 Chance, Chaos, and Chromosomes 173

Epilog 191
Sources 193
Credits 195
Index 197

L'auteur - Brian S. Everitt

Brian Everitt is Emeritus Professor of Statistics, King's College, London.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Brian S. Everitt
Parution	01/04/2001
Nb. de pages	202
Format	16 x 24
Couverture	Relié
Poids	484g
Intérieur	Noir et Blanc
EAN13	9780387987767
ISBN13	978-0-387-98776-7