Bootstrap Methods and their Application Paperback (Cambridge Series in Statistical and Probabilistic Mathematics)

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9780521574716: Bootstrap Methods and their Application Paperback (Cambridge Series in Statistical and Probabilistic Mathematics)

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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Review:

'… 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

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Davison; Hinkley
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ISBN 10: 0521574714 ISBN 13: 9780521574716
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Descripción Cambridge University Press. Paperback. Estado de conservación: new. BRAND NEW, Bootstrap Methods and their Application, A. C. Davison, D. V. Hinkley, R. Gill, Brian D. Ripley, S. Ross, Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website. Nº de ref. de la librería B9780521574716

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Descripción Cambridge University Press. PAPERBACK. Estado de conservación: New. 0521574714 This is a trade paperback. Nº de ref. de la librería 278.JK6

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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 1997. Paperback. Estado de conservación: New. 250 x 176 mm. Language: English . Brand New Book ***** Print on Demand *****. Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website. Nº de ref. de la librería AAV9780521574716

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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 1997. Paperback. Estado de conservación: New. 250 x 176 mm. Language: English . Brand New Book ***** Print on Demand *****.Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website. Nº de ref. de la librería AAV9780521574716

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Descripción Cambridge University Press, 1997. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9780521574716

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Descripción Cambridge University Press, 1997. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería I2-9780521574716

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Descripción Cambridge University Press, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780521574716_lsuk

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Descripción 1997. Paperback. Estado de conservación: NEW. 9780521574716 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0463993

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Descripción Cambridge University Press, 1997. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1. Introduction; 2. The basic bootstraps; 3. Further ideas; 4. Tests; 5. Confidence intervals; 6. Regression models; 7. Further topics in regression; 8. Complex dependence; 9. Improved calculation; 10. Semiparametric likelihood inference; 11. Computer implementation; Appendix; Cumulant calculations; Bibliography; Index. Nº de ref. de la librería ABE_book_new_0521574714

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Descripción Cambridge University Press 1997-10-28, 1997. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-ING-00935432

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