Resampling Methods for Dependent Data is popular PDF and ePub book, written by S. N. Lahiri in 2013-03-09, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Resampling Methods for Dependent Data can be Read Online from any device for your convenience.
Resampling Methods for Dependent Data Book PDF Summary
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.
Detail Book of Resampling Methods for Dependent Data PDF
- Author : S. N. Lahiri
- Release : 09 March 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781475738032
- Genre : Mathematics
- Total Page : 382 pages
- Language : English
- PDF File Size : 14,8 Mb
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