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Bootstrap Methods And Their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Band 1) (Englisch) Taschenbuch – 4. Dezember 1997

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Bootstrap Methods And Their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Band 1) + An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)
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Produktinformation

  • Taschenbuch: 592 Seiten
  • Verlag: Cambridge University Press; Auflage: New. (4. Dezember 1997)
  • Sprache: Englisch
  • ISBN-10: 0521574714
  • ISBN-13: 978-0521574716
  • Größe und/oder Gewicht: 17,7 x 3,1 x 25,3 cm
  • Durchschnittliche Kundenbewertung: 4.7 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 193.431 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Pressestimmen

'… 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

Über das Produkt

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.

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Die hilfreichsten Kundenrezensionen

5 von 5 Kunden fanden die folgende Rezension hilfreich Von Michael R. Chernick am 25. März 2000
Format: Taschenbuch
Like Efron and Tibshirani (1993) this book is designed as an introductory course text on the bootstrap. It covers the wide variety of applications and is up-to-date on this rapidly expanding area of research. The book is notable for its detailed examples and numerous problems. Also an enclosed diskette provides SPlus code to help the reader implement the bootstrap via the Monte Carlo approximations. Applications to time series and point processes are among the interesting new applications treated in the book. It is very well written. Chernick (1999) may also be of interest to readers of bootstrap as it ties the literature together and provides real world applications and examples where the bootstrap principle fails.
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Format: Taschenbuch
Looking for an introductory textbook on bootstrap methods I found this one to be much more suitable for a PhD-student in Economics than other bootstrap related books. The reasons are the following ones:

1. The book covers a vast range of various bootstrap related aspects, including empirical examples.
2. It delivers first insights into relevant applications and points to most important strengths or pitfalls, depending on a specific context.
3. Though the authors expect their readers to possess advanced (econometric) knowledge, they develop their thoughts in a sufficiently precise but at the same time also understandable manner.
4. The structure of this book is well chosen and the authors are able to focus.
5. Aside from bootstrap procedures, the authors usually also provide insights into related or auxiliary statistical concepts.
6. For the most important bootstrap applications, brief 'recipes' are also included.

With respect to the content, I can definitely recommend this textbook to PhD-students or empirical researchers who want to broaden their knowledge. However, there remains one drawback, namely the version that has been sent to me was an Amazon-reprint where on some pages the print quality was unsatisfactory and there was no data material (i.e. on a disk) attached.
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1 von 2 Kunden fanden die folgende Rezension hilfreich Von John-Philip Lawo am 26. August 2008
Format: Taschenbuch Verifizierter Kauf
This book ist excellent for anyone interested in being introduced to bootstrap and doing some self-programming as it covers a wide range of boostrap methods and their applications.
However, some examples are some kind far from usual they give a different point of view on some issues.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 9 Rezensionen
15 von 15 Kunden fanden die folgende Rezension hilfreich
A Clear Introduction to the Bootstrap & Applications 25. August 2007
Von C. Andersen - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This is a well-written book, and I had the basic bootstrap notion figured-out and implemented within a few days, though it will be some time before I develop any serious depth of mastery of the material. For those unfamiliar with the bootstrap method, by a system of resampling from an existing sample of data it provides a means of establishing the standard error for pretty-near any statistical measure (like the standard error of the mean in traditional statistics), as well as the determination of general confidence intervals for those measures, even when the distribution of the data is non-gaussian or unknown. I do find the author's symbolic notation a bit confusing - perhaps TOO compact, and many of the symbolic expressions would really benefit from an associated clearly written paraphrasing (difficult for me to remember all the conventions after putting the book down for a few days). Still, to go from being barely aware of the technique to applying it to the data analysis in a current research project over a period of several weeks suggests that this text does a heck of a good job at conveying the intended introduction.
43 von 53 Kunden fanden die folgende Rezension hilfreich
worth the price 23. Januar 2008
Von Michael R. Chernick - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book is loaded with good text book examples and covers a wide variety of bootstrap applications. It is great as a reference book on the bootstrap or as a course text at a graduate level. Chernick (1999) is a little more up-to-date and covers the classifcation error rate estimation problem that is not addressed in this text. Chernick (1999) also has many more references. Efron and Tibshirani (1993) is another fine text that is a little more intuition based with less mathematics. Fieller's problem with ratio estimation and some other gems are well covered in Efron and Tibshirani but not here. Davison and Hinkley do the best job on time series of any of the bootstrap books with details about moving block bootstrap and some interesting applications. The second edition of my text Chernick (2007) just came out and is far more up to date with an improved treatment of time series. But Davison and Hinkley is still by far the best book for a course because of the many exercises and practicals.
9 von 9 Kunden fanden die folgende Rezension hilfreich
It is a very good book 15. Mai 2007
Von C. Tu - Veröffentlicht auf Amazon.com
Format: Taschenbuch
People might have many different reasons to use bootstrap techniques and they might have various backgrounds therefore this is a good book for readers that want to learn the bootstrap. If you do not have strong background in statistics then the practicals section will help you to programm and analyze the data. If you have background this book does show you the theory behind.
2 von 2 Kunden fanden die folgende Rezension hilfreich
Introduction of bootstrap principle is not concise 14. Mai 2013
Von Academic Book Reviewer - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I think that the book could be made easier to read. At least for me, I didn't get the bootstrap principle by reading this book, until I read the Russian matryoshka doll example on page 4 of Hall (1992). The concept of bootstrap is simple and general (it doesn't matter whether it is parametric or non-parametric). However, the introduction in Chap 2 of Davison's book makes the basic principle harder to get if one does't know it already.

Another comment is that, although there is a R package boot, most examples used the book are not available in the package. It will be helpful to the readers in learning how the method is used in practice by disclosing all the code for running the examples in the book.
13 von 18 Kunden fanden die folgende Rezension hilfreich
Exceptionally clear, concise and practical 24. Dezember 2001
Von Alejandro C. Frery - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book has an excellent ballance between practice and theory. It presents the bootstrap as the powerful tool it is through the ellucidation of practical issues. I strongly recommend this book for everyone interested in improving statistical practice.
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