Bootstrap methods have seen a surge of research activity in recent years, generating new theoretical developments, real-world applications, and critical reviews of its performance in solving various problems. This book introduces the bootstrap method at a remarkably practical, accessible level. Michael Chernick, highly recognized for his encyclopedic knowledge of the field, presents numerous recent results and applications, clearly explains when the bootstrap method is not effective or appropriate, and connects it with older and more traditional sampling methods.
Michael R. Chernick