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Springer

Series Approximation Methods in Statistics

Series Approximation Methods in Statistics

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This revised 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.



Author: John E. Kolassa
Publisher: Springer
Published: 04/28/2006
Pages: 222
Binding Type: Paperback
Weight: 0.70lbs
Size: 9.00h x 6.10w x 0.50d
ISBN: 9780387314099

About the Author
John E. Kolassa is Assistant Professor of Biostatistics at the University of Rochester.

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