Resampling Methods for Dependent Data / Springer Series in Statistics (PDF)
By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout. The book fills a gap in the literature covering research on re-sampling methods for dependent data...
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By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout. The book fills a gap in the literature covering research on re-sampling methods for dependent data that has witnessed vigorous growth over the last two decades but remains scattered in various statistics and econometrics journals. It can be used as a graduate level text and also as a research monograph for statisticians and econometricians.
- Autor: S. N. Lahiri
- 2013, 2003, 374 Seiten, Englisch
- Verlag: Springer US
- ISBN-10: 147573803X
- ISBN-13: 9781475738032
- Erscheinungsdatum: 09.03.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 31 MB
- Mit Kopierschutz
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