An Introduction to the Bootstrap (PDF)
(Sprache: Englisch)
An Introduction to the Bootstrap arms scientists, engineers, and statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers...
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An Introduction to the Bootstrap arms scientists, engineers, and statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena. This book presents an overview of the bootstrap and related methods for assessing statistical accuracy, concentrating on the ideas rather than their mathematical justification. Not just for beginners, the presentation starts off slowly, but builds in both scope and depth to ideas that are quite sophisticated.
Autoren-Porträt von Bradley Efron, R. J. Tibshirani
Bradley Efron, Department of Statistics Stanford University and Robert J. Tibshirani, Department of Preventative Medicine and Biostatistics and Department of Statistics, University of Toronto.
Bibliographische Angaben
- Autoren: Bradley Efron , R. J. Tibshirani
- 1994, 456 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000064980
- ISBN-13: 9781000064988
- Erscheinungsdatum: 15.05.1994
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 27 MB
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Englisch
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