Series approximation methods in statistics
by John Edward Kolassa
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This book presents theoretical results relevant to Edgeworth and saddlepoint expansions to densities and distribution functions. It provides examples of their application in some simple and a few complicated settings, along with numerical, as well as asymptotic, assessments of their accuracy. Variants on these expansions, including much of modern likelihood theory, are discussed and applications to lattice distributions are extensively treated.
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 analysis, vector calculus, and complex analysis.
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| Edition | Availability |
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1
Series approximation methods in statistics
1997, Springer
in English
- 2nd ed.
0387982248 9780387982243
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Series approximation methods in statistics
1994, Springer-Verlag
in English
0387942777 9780387942773
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Includes bibliographical references (p. 172-179) and indexes.
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| July 13, 2024 | Edited by MARC Bot | import existing book |
| April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
| February 6, 2010 | Edited by WorkBot | add more information to works |
| December 10, 2009 | Created by WorkBot | add works page |