论坛里搜了没这书。讲统计学里的鞍点逼近方法的。

Product 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.   

Product Details  

• Hardcover: 576 pages
• Publisher: Cambridge University Press; First Edition edition (August 27, 2007)
• Language: English
• ISBN-10: 0521872502
• ISBN-13: 978-0521872508

象征性收一个论坛币统计人数。