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Resampling Methods for Dependent Data (Paperback, Softcover reprint of hardcover 1st ed. 2003) Loot Price: R5,826
Discovery Miles 58 260
Repayment Terms: R546 pm x 12*
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Resampling Methods for Dependent Data (Paperback, Softcover reprint of hardcover 1st ed. 2003): S. N. Lahiri

Resampling Methods for Dependent Data (Paperback, Softcover reprint of hardcover 1st ed. 2003)

S. N. Lahiri

Series: Springer Series in Statistics

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Loot Price R5,826 Discovery Miles 58 260 | Repayment Terms: R546 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Series in Statistics
Release date: November 2010
First published: 2003
Authors: S. N. Lahiri
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Paperback
Pages: 374
Edition: Softcover reprint of hardcover 1st ed. 2003
ISBN-13: 978-1-4419-1848-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 1-4419-1848-5
Barcode: 9781441918482

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