Description 
1 online resource (ix, 218 pages) : illustrations 
Series 
Lecture notes in statistics ; 88 

Lecture notes in statistics (SpringerVerlag) ; v. 88

Contents 
Asymptotics in general  Characteristic functions and the BerryEssen theorem  Edgeworth series  Saddlepoint series for densities  Saddlepoint series for distribution functions  Multivariate expansions  Conditional distribution approximations  Applications to wald, likelihood ratio, and maximum likelihood statistics  Other topics  Computational aids 
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 
Bibliography 
Includes bibliographical references (pages 205214) and index 
Notes 
Print version record 
In 
Springer ebooks 
Subject 
Mathematical statistics  Asymptotic theory.


Asymptotic distribution (Probability theory)


Edgeworth expansions.


Statistics as Topic.

Form 
Electronic book

LC no. 
2005939010 
ISBN 
0387314091 (Paper) 

0387322272 

6610716269 

9780387314099 (Paper) 

9780387322278 

9786610716265 
