The book provides a compact reference guide to many key aspects of the bootstrap. It explores bootstrap methods, with an introductory chapter that also addresses other resampling methods and their broad range of applications (e.g. time series). The individual chapters focus on estimation, confidence intervals and hypothesis testing.
Bootstrap Methods: An Overview (SpringerBriefs in Statistics)
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Book Details
Author(s)Michael R. Chernick
PublisherSpringer
ISBN / ASIN3642350720
ISBN-139783642350726
AvailabilityNot yet published
Sales Rank5,375,752
CategoryMathematics
MarketplaceUnited States 🇺🇸
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