Series approximation methods in statistics

Resource Information

The work Series approximation methods in statistics represents a distinct intellectual or artistic creation found in University of Liverpool. This resource is a combination of several types including: Work, Language Material, Books.

Label

Series approximation methods in statistics

Statement of responsibility

John E. Kolassa

Creator

• Kolassa, John Edward, 1963-
• Kolassa, John Edward, 1963-

Subject

• Mathematical statistics -- Asymptotic theory
• Statistical Theory and Methods
• Statistics
• Statistics as Topic
• Asymptotic distribution (Probability theory)
• Edgeworth expansions

Language

eng

Summary

"Asymptotic techniques have long been important in statistical inference; these techniques remain important in the age of fast computing because some exact answers are still either conceptually unavailable or practically out of reach. This book presents theoretical results relevant to Edgeworth and saddlepoint expansions to densities and distribution functions." "This book is intended primarily for advanced graduate students and researchers in the field needing a collection of core results in a uniform notation, with bibliographical references to further examples and applications. It assumes familiarity with real and univariate complex analysis, and vector calculus."--Jacket

Member of

• Lecture notes in statistics (Springer-Verlag), v. 88
• Online access with purchase: Springer

Is part of

• Springer e-books

Cataloging source

GW5XE

Dewey number

519.5

Illustrations

illustrations

Index

index present

LC call number

QA276

LC item number

.K625 2006eb

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

Series statement

Lecture notes in statistics

Series volume

88