Resampling Methods for Dependent Data

Discover the essential techniques of bootstrap and resampling methods tailored for dependent data in S.N. Lahiri's "Resampling Methods for Dependent Data," published by Springer-Verlag New York Inc. in 2003. This comprehensive volume spans 374 pages, delving into innovative methodologies designed to tackle the complexities presented by temporal and spatial data that exhibit various forms of dependence. Lahiri, a renowned authority in the field, provides readers with a thorough understanding of how to apply these advanced statistical methods effectively. Ideal for researchers and practitioners alike, this hardback edition serves as an invaluable resource for those seeking to enhance their statistical analysis capabilities. Equip yourself with the knowledge to navigate and interpret dependent data with confidence!