A highly regarded Springer Series in Statistics title covering bootstrap and resampling techniques for dependent data, including block bootstrap methods, long-range dependence, spatial data applications and modern statistical inference.

Widely referenced by statisticians, econometricians and researchers working in time-series analysis, probability theory and advanced statistical methodology.

This hardback copy is in very good overall condition. It has been lightly read and used. Pages remain clean and bright throughout with a firm, secure binding. No writing, highlighting, underlining or annotations were observed during inspection.

The boards remain clean and presentable with only light shelf and handling wear consistent with careful ownership.

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