Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)

Davison, A. C.; Hinkley, D. V.

ISBN 10: 0521574714 / ISBN 13: 9780521574716

Editore: Cambridge University Press, 1997

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Codice articolo ZEV.0521574714.G

Dati bibliografici

• Titolo: Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)
• Editore: Cambridge University Press
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0521574714
• ISBN 13: 9780521574716
• Rilegatura: Brossura
• Condizione: good

Descrizione articolo

Riassunto

This book on statistical methods was first published in 1997 and has code on a supporting website.

Recensione

'... an extremely readable book. I would have no hestitation in recommending it as the most useful reference available for people wishing to learn or teach this subject. Certainly, this book is an essential addition to any library for those who use, or wish to use, bootstrap methodology.' Stephen Brooks, Royal Statistical Society Bulletin

'This book gives a broad and up-to-date coverage of bootstrap methods with numerous applied examples, together with the underlying general concepts developed in a coherent way.' L'Enseignment Mathématique

'Davison and Hinkley's book covers a remarkably broad range of bootstrap topics ... The authors have put considerable thought and time into their exposition. For learning how and when to bootstrap, there is no better start. Metrika

' ... this is a timely, comprehensive and well presented text on the bootstrap, which I recommend to statistical practitioners, researchers and students alike.' James Carpenter, London School of Hygiene and Tropical Medicine

' ... the authors provide a comprehensive and extremely readable overview of the current state of art in bootstrap methodology ... I strongly recommend this book ... this book should be part of your library.' Berwin A. Turlach, Journal of Applied Statistics

'We recommend this book most highly. It made us stop and think regularly and contributed tremendously to our understanding of the bootstrap. It is an excellent book for professors, students, practitioners, and researchers alike.' Journal of American Statistical Association

'The coverage is comprehensive, making the book very useful ... The book is well written and is at a level which ensures its usefulness for a wide range of readers.' C. J. Field