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[Springer Series in Statistics] Subsampling || Subsampling for Nonstationary Time Series

✍ Scribed by Politis, Dimitris N.; Romano, Joseph P.; Wolf, Michael

Book ID
119999162
Publisher
Springer New York
Year
1999
Tongue
English
Weight
998 KB
Edition
1
Category
Article
ISBN
1461215544

No coin nor oath required. For personal study only.

✦ Synopsis

Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.

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