Good hardcover copy (NOT ex-lib). Previous owner's name in ink on inside of covers and front endpaper. Text has a handful of scattered pencil markings. Binding sturdy and square. Shelfwear is very minor. Ships same or next business day from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may be requested for international shipping.

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Bibliographic Details

Title

Approximation Theorems of Mathematical Statistics (Wiley Series in Probability and Statistics)

Publisher

Wiley-Interscience

Publication Date

1980

Language

English

ISBN 10

0471024031

ISBN 13

9780471024033

Binding

Hardcover

Condition

Good

Dust Jacket Condition

No Dust Jacket

Weight

25 ounces

Seller catalogs

Mathematics

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.

"About this title" may belong to another edition of this title.

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