Description: Modern statistical methods use complex, sophisticated models that can lead to intractable computations. Saddlepoint approximations can be the answer. Written from the user's point of view, this book explains in clear language how such approximate probability computations are made, taking readers from the very beginnings to current applications. The core material is presented in chapters 1-6 at an elementary mathematical level. Chapters 7-9 then give a highly readable account of higher-order asymptotic inference. Later chapters address areas where saddlepoint methods have had substantial impact: multivariate testing, stochastic systems and applied probability, bootstrap implementation in the transform domain, and Bayesian computation and inference. No previous background in the area is required. Data examples from real applications demonstrate the practical value of the methods. Ideal for graduate students and researchers in statistics, biostatistics, electrical engineering, econometrics, and applied mathematics, this is both an entry-level text and a valuable reference.
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EAN: 9780521872508
UPC: 9780521872508
ISBN: 9780521872508
MPN: N/A
Item Length: 25.4 cm
Number of Pages: 578 Pages
Language: English
Publication Name: Saddlepoint Approximations with Applications
Publisher: Cambridge University Press
Publication Year: 2007
Subject: Mathematics
Item Height: 253 mm
Item Weight: 1210 g
Type: Textbook
Author: Ronald W. Butler
Series: Cambridge Series in Statistical and Probabilistic Mathematics
Item Width: 183 mm
Format: Hardcover
