Bootstrap methods enable fairly sophisticated statistical calculations to be done by computer simulation. The range of application is broad: from biology and medicine through to econometrics and finance. Compared with other treatments, applications are thoroughly covered in this 1997 book, with an emphasis on practical implementation. Computer code is available on the supporting website.

Cr�ticas:

'... 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 Math�matique

'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

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Verwandte Artikel zu Bootstrap Methods and their Application (Cambridge...

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

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

Neu - Softcover

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