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Bootstrap methods and their application

Author: A C Davison; D V Hinkley
Publisher: Cambridge : Cambridge University Press, 1997
Series: Cambridge series on statistical and probabilistic mathematics, 1
Edition/Format:   eBook : EnglishView all editions and formats
Summary:
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,  Read more...
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Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A C Davison; D V Hinkley
ISBN: 9780511802843 0511802846 9780521573917 0521573912 9780521574716 0521574714
OCLC Number: 967598892
Notes: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Description: 1 online resource (x, 582 Seiten)
Contents: 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.
Series Title: Cambridge series on statistical and probabilistic mathematics, 1
Other Titles: Bootstrap Methods et their Application
Responsibility: A.C. Davison, D.V. Hinkley.

Abstract:

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  Read more...

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'... 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 Read more...

 
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