Resampling Methods for Dependent Data

Resampling Methods for Dependent Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 382
Release :
ISBN-10 : 9781475738032
ISBN-13 : 147573803X
Rating : 4/5 (03X Downloads)

Book Synopsis Resampling Methods for Dependent Data by : S. N. Lahiri

Download or read book Resampling Methods for Dependent Data written by S. N. Lahiri and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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