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Item Details
Title: SADDLEPOINT APPROXIMATIONS WITH APPLICATIONS
By: Ronald W. Butler, R. Gill, Brian D. Ripley
Format: Hardback

List price: £111.00
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ISBN 10: 0521872502
ISBN 13: 9780521872508
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Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 16 August, 2007
Series: Cambridge Series in Statistical and Probabilistic Mathematics No. 22
Pages: 578
Description: This book explains how approximate probability calculations make complex models tractable, with clear, simple explanations and real data examples.
Synopsis: 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.
Illustrations: 131 b/w illus. 120 tables 283 exercises
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
Some other items by this author:
BOOTSTRAP METHODS AND THEIR APPLICATION (PB)
DATA ANALYSIS AND GRAPHICS USING R (HB)
ELEMENTS OF DISTRIBUTION THEORY (HB)
ESSENTIALS OF STATISTICAL INFERENCE (HB)
MARKOV CHAINS (PB)
MODERN ANALYTICAL GEOCHEMISTRY
MODERN ANALYTICAL GEOCHEMISTRY
MODERN ANALYTICAL GEOCHEMISTRY
MODERN APPLIED STATISTICS WITH S (HB)
MODERN APPLIED STATISTICS WITH S (PB)
NEW FEMININITIES (PB)
PATTERN RECOGNITION AND NEURAL NETWORKS
PATTERN RECOGNITION AND NEURAL NETWORKS (HB)
PATTERN RECOGNITION AND NEURAL NETWORKS (PB)
RANDOM GRAPH DYNAMICS (HB)
S PROGRAMMING (HB)
S PROGRAMMING (PB)
SADDLEPOINT APPROXIMATIONS WITH APPLICATIONS
SPATIAL STATISTICS
SPATIAL STATISTICS (PB)
STATISTICAL ANALYSIS OF STOCHASTIC PROCESSES IN TIME (HB)
STATISTICAL INFERENCE FOR SPATIAL PROCESSES (PB)
STATISTICAL MECHANICS OF DISORDERED SYSTEMS (HB)
STATISTICAL MODELS (HB)
STOCHASTIC SIMULATION
STOCHASTIC SIMULATION (PB)
TENERIFE CANARY ISLANDS (PB)
THE COORDINATE-FREE APPROACH TO LINEAR MODELS (HB)

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