PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY

Close Notification

Your cart does not contain any items

Dark Data

Why What You Don’t Know Matters

David J. Hand

$54.99

Hardback

Not in-store but you can order this
How long will it take?

QTY:

English
Princeton University Press
27 April 2020
A practical guide to making good decisions in a world of missing data

In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but

By:  
Imprint:   Princeton University Press
Country of Publication:   United States
Dimensions:   Height: 216mm,  Width: 140mm, 
ISBN:   9780691182377
ISBN 10:   069118237X
Pages:   344
Publication Date:  
Audience:   General/trade ,  Professional and scholarly ,  General/trade ,  ELT Advanced ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

David J. Hand is emeritus professor of mathematics and senior research investigator at Imperial College London, a former president of the Royal Statistical Society, and a fellow of the British Academy. His many previous books include The Improbability Principle, Measurement: A Very Short Introduction, Statistics: A Very Short Introduction, and Principles of Data Mining.

Reviews for Dark Data: Why What You Don’t Know Matters

You need to read [Dark Data], and be convinced by David's reasoning and his examples of cases in which unseen or unreported data play a critical and sometimes even a fatal role. You are likely to walk away with the feeling that the term dark data is indeed a very effective one to arouse both curiosity and suspicion, mixed with happiness that finally a great term was coined by a statistician-and sadness that the statistician is not you. ---Xiao-Li Meng, IMS Bulletin An exploration of a major problem in data analysis with an attempt of classification, analysing causes, mechanisms, and to some extent also suggest mitigations. ---Adhemar Bultheel, European Mathematical Society [A] penetrating study of missing ('dark') data and its impacts on decisions . . . Hand offers expert training, from recognizing when facts are being cherry-picked to designing randomized trials. A book illuminating shadowed corners in science, medicine and policy. ---Barbara Kiser, Nature


See Also