The Resource Series approximation methods in statistics, John E. Kolassa, (electronic book)
Series approximation methods in statistics, John E. Kolassa, (electronic book)
Resource Information
The item Series approximation methods in statistics, John E. Kolassa, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Series approximation methods in statistics, John E. Kolassa, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 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
 Language
 eng
 Edition
 3rd ed.
 Extent
 1 online resource (ix, 218 pages)
 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
 Isbn
 9780387322278
 Label
 Series approximation methods in statistics
 Title
 Series approximation methods in statistics
 Statement of responsibility
 John E. Kolassa
 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
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorDate
 1963
 http://library.link/vocab/creatorName
 Kolassa, John Edward
 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
 http://library.link/vocab/subjectName

 Mathematical statistics
 Asymptotic distribution (Probability theory)
 Edgeworth expansions
 Statistics as Topic
 Statistics
 Statistical Theory and Methods
 Label
 Series approximation methods in statistics, John E. Kolassa, (electronic book)
 Bibliography note
 Includes bibliographical references (pages 205214) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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
 Control code
 SPR209921083
 Dimensions
 unknown
 Edition
 3rd ed.
 Extent
 1 online resource (ix, 218 pages)
 Form of item
 online
 Isbn
 9780387322278
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other physical details
 illustrations.
 Specific material designation
 remote
 Label
 Series approximation methods in statistics, John E. Kolassa, (electronic book)
 Bibliography note
 Includes bibliographical references (pages 205214) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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
 Control code
 SPR209921083
 Dimensions
 unknown
 Edition
 3rd ed.
 Extent
 1 online resource (ix, 218 pages)
 Form of item
 online
 Isbn
 9780387322278
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other physical details
 illustrations.
 Specific material designation
 remote
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/SeriesapproximationmethodsinstatisticsJohn/8C2eevF0GvM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/SeriesapproximationmethodsinstatisticsJohn/8C2eevF0GvM/">Series approximation methods in statistics, John E. Kolassa, (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>