[PDF.59cw] Resampling Methods for Dependent Data (Springer Series in Statistics)

Resampling Methods for Dependent Data (Springer Series in Statistics)

[PDF.pm65] Resampling Methods for Dependent Data (Springer Series in Statistics)

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 | #4372339 in Books |  2010-02-19 | Original language:English | PDF # 1 |  9.00 x.89 x6.00l,1.21 | File type: PDF | 374 pages

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||32 of 33 people found the following review helpful.| first resampling book dedicated to dependent data|By Michael R. Chernick|Books on the bootstrap and other resampling methods with a strong theoretical basis haven't appeared since 1999. So in 2003 this was a very welcome addition to the texts on resampling. It begins with a very good review of the bootstrap in the independent case. Then it goes on to give a delailed and tho| ||From the reviews: | |"This book contains a large amount of material on resampling methods for dependent data ??? . the book is self-contained and therefore can be used as a text for a graduate level course in resampling methods; at the same time, the book is

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 statistici...

You easily download any file type for your device.Resampling Methods for Dependent Data (Springer Series in Statistics)   |  S. N. Lahiri.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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