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Resampling Methods for Dependent Data
S.k. Lahiri
€ 278.98
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Description for Resampling Methods for Dependent Data
Hardback. By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides numerical examples throughout. It fills a gap in the literature covering research on re-sampling methods for dependent data. It can be used as a graduate level text and also as a research monograph for statisticians and econometricians. Series: Springer Series in Statistics. Num Pages: 388 pages, biography. BIC Classification: PBT; PBW; UYA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 680.
This is a book on bootstrap and related resampling methods for temporal and spatial data exhibiting various forms of dependence. Like the resam pling methods for independent data, these methods provide tools for sta tistical analysis of dependent data without requiring stringent structural assumptions. This is an important aspect of the resampling methods in the dependent case, as the problem of model misspecification is more preva lent under dependence and traditional statistical methods are often very sensitive to deviations from model assumptions. Following the tremendous success of Efron's (1979) bootstrap to provide answers to many complex problems involving independent data ... Read more
This is a book on bootstrap and related resampling methods for temporal and spatial data exhibiting various forms of dependence. Like the resam pling methods for independent data, these methods provide tools for sta tistical analysis of dependent data without requiring stringent structural assumptions. This is an important aspect of the resampling methods in the dependent case, as the problem of model misspecification is more preva lent under dependence and traditional statistical methods are often very sensitive to deviations from model assumptions. Following the tremendous success of Efron's (1979) bootstrap to provide answers to many complex problems involving independent data ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Springer-Verlag New York Inc. United States
Number of pages
388
Condition
New
Series
Springer Series in Statistics
Number of Pages
374
Place of Publication
New York, NY, United States
ISBN
9780387009285
SKU
V9780387009285
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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