Approximation Theorems of Mathematical Statistics (Wiley Series in Probabilit.

Serfling, Robert J.

ISBN 10: 0471024031 / ISBN 13: 9780471024033

Published by Wiley-Interscience, 1980

About this Item

Wiley-Interscience; 1980; Hardcover; lightly used hardcover issued without dust jacket. Moderate shelfwear to boards; binding and pages remain solid, with no marks to text. used hardcover copy, lacking a dust jacket (as issued). light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight, and tight. there are no marks to the text or other serious flaws.

Seller Inventory # 1563453

Bibliographic Details

• Title: Approximation Theorems of Mathematical Statistics (Wiley Series in Probabilit.
• Publisher: Wiley-Interscience
• Publication Date: 1980
• Language: English
• ISBN 10: 0471024031
• ISBN 13: 9780471024033
• Binding: Hardcover
• Condition: VG
• Seller catalogs:
  • MATH statistics

About this title

Synopsis

Approximation Theorems of Mathematical Statistics

This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics 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. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory.

The book makes accessible to students and practicing professionals in statistics, general mathematics, operations research, and engineering the essentials of:
* The tools and foundations that are basic to asymptotic theory in statistics
* The asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergence
* Important special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding's U-statistics and R. von Mises's "differentiable statistical functions"
* Statistics obtained as solutions of equations ("M-estimates"), linear functions of order statistics ("L-statistics"), and rank statistics ("R-statistics")
* Use of influence curves
* Approaches toward asymptotic relative efficiency of statistical test procedures

From the Publisher

Covers a broad range of limit theorems for mathematical statistics, including proof methods and application techniques. Emphasizes manipulation of probability theorems to obtain statistical theorems. Imparts a knowledge of these basic statistical theorems, as well as an appreciation of the instrumental role of probability theory and a perspective on practical needs for its further development. Assumes introductory graduate knowledge of probability theory and mathematical statistics.