Resampling Methods for Dependent Data
Download or Read eBook Resampling Methods for Dependent Data PDF 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.
| Author | : S. N. Lahiri |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 382 |
| Release | : 2013-03-09 |
| ISBN-10 | : 9781475738032 |
| ISBN-13 | : 147573803X |
| Rating | : 4/5 (32 Downloads) |
Book Synopsis Resampling Methods for Dependent Data by : S. N. Lahiri
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.
