Series Approximation Methods in Statistics is popular PDF and ePub book, written by John Edward Kolassa in 1994, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Series Approximation Methods in Statistics can be Read Online from any device for your convenience.
Series Approximation Methods in Statistics Book PDF Summary
Asymptotic techniques have long been important in statistical inference; these techniques remain important in the age of fast computing because some exact answers are still either conceptually unavailable or practically out of reach. 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 in a few complicated, settings. Numerical and asymptotic assessments of accuracy are presented. Variants of these expansions, including much of modern likelihood theory, are discussed. Applications to lattice distributions are extensively treated.
Detail Book of Series Approximation Methods in Statistics PDF
- Author : John Edward Kolassa
- Release : 30 June 1994
- Publisher : Springer Science & Business Media
- ISBN : 0387942777
- Genre : Mathematics
- Total Page : 150 pages
- Language : English
- PDF File Size : 9,6 Mb
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