Approximation Theorems of Mathematical Statistics
Language: English
Published by John Wiley and Sons Ltd, 2001
- Softcover
- New
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Condition: New
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Add to basketItem description from seller
Covers a range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. This book emphasizes the manipulation of "probability" theorems to obtain "statistical" theorems. Series: Wiley Series in Probability & Mathematical Statistics. Num Pages: 400 pages, Ill. BIC Classification: PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate; (XV) Technical / Manuals. Dimension: 231 x 154 x 30. Weight in Grams: 582. . 2001. New edition. Paperback. . . . .
Seller Inventory # V9780471219279
- Title
- Approximation Theorems of Mathematical Statistics
- Author
- Robert J. Serfling
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2001
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0471219274
- ISBN 13
- 9780471219279
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
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