xiv, 371 pages ; 24 cm

This paperback reprint covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of "probability" theorems to obtain "statistical" theorems is emphasized

Includes bibliographical references (pages 353-363)

Includes indexes

Preliminary tools and foundations -- The basic sample statistics -- Transformation of given statistics -- Asymptotic theory in parametric inference -- U-statistics -- Von Mises differentiable statistical functions -- M-estimates -- L-estimates -- R-estimates -- Asymptotic relative efficiency -- Appendix -- References -- Author & subject indexes

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