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The art of statistics

learning from data
Verfasser*in: Suche nach Verfasser*in Spiegelhalter, David J.
Verfasser*innenangabe: David Spiegelhalter
Jahr: 2020
Verlag: London, Penguin Books
Mediengruppe: Buch
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Inhalt

'A statistical national treasure' Jeremy Vine, BBC Radio 2
 
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
 
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
 
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.
 
'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature
 
 
Aus dem Inhalt:
LIST OF FIGURES ix / / LIST OF TABLES xiii / / ACKNOWLEDGEMENTS XV / / INTRODUCTION 1 / / CHAPTER 1 / Getting Things in Proportion: Categorical 19 / Data and Percentages / CHAPTER 2 / Summarizing and Communicating 39 / Numbers. Lots of Numbers / CHAPTER 3 / Why Are We Looking at Data Anyway? 73 / Populations and Measurement / CHAPTER 4 / What Causes What? 95 / CHAPTER 5 / Modelling Relationships Using Regression 121 / / CHAPTER 6 / Algorithms, Analytics and Prediction 143 / CHAPTER 7 / How Sure Can We Be About What Is 189 / Going On? Estimates and Intervals / CHAPTER 8 / Probability - the Language of Uncertainty 205 / and Variability / CHAPTER 9 / Putting Probability and Statistics Together / CHAPTER 10 / Answering Questions and Claiming 253 / Discoveries / / Learning from Experience the Bayesian Way / CHAPTER 12 / How Things Go Wrong 341 / CHAPTER 13 / How We Can Do Statistics Better 361 / CHAPTER 14 / In Conclusion 379 / GLOSSARY 381 / / NOTES 407 / / INDEX 419

Details

Verfasser*in: Suche nach Verfasser*in Spiegelhalter, David J.
Verfasser*innenangabe: David Spiegelhalter
Jahr: 2020
Verlag: London, Penguin Books
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Systematik: Suche nach dieser Systematik NN.MNS, FS.E
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ISBN: 978-0-241-25876-7
2. ISBN: 0-241-25876-6
Beschreibung: XVI, 426 Seiten : Illustrationen, Diagramme
Schlagwörter: Data Science, Daten, Datenanalyse, Datenverarbeitung, Statistik, ADV, Automatisierte Datenverarbeitung, Data analysis, Data-analysis, Datenauswertung <Statistik>, Datenwissenschaft, EDV, Elektronische Datenverarbeitung, Mathematische Statistik, Statistiken, Statistische Auswertung, Statistische Daten, Statistische Datenanalyse, Statistische Mathematik, Statistische Methode, Statistisches Verfahren
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Sprache: Englisch
Fußnote: Published in paperback 2020
Mediengruppe: Buch