Asymptotic approximations for probability integrals
This book gives a self-contained introduction to the subject of asymptotic approximation for multivariate integrals for both mathematicians and applied scientists. A collection of results of the Laplace methods is given. Such methods are useful for example in reliability, statistics, theoretical phy...
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Main Author | |
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Format | eBook Book |
Language | English |
Published |
Berlin, Heidelberg
Springer-Verlag
1994
Springer Berlin / Heidelberg Springer Berlin Heidelberg Springer |
Edition | 1 |
Series | Lecture Notes in Mathematics |
Subjects | |
Online Access | Get full text |
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Summary: | This book gives a self-contained introduction to the subject of asymptotic approximation for multivariate integrals for both mathematicians and applied scientists. A collection of results of the Laplace methods is given. Such methods are useful for example in reliability, statistics, theoretical physics and information theory. An important special case is the approximation of multidimensional normal integrals. Here the relation between the differential geometry of the boundary of the integration domain and the asymptotic probability content is derived. One of the most important applications of these methods is in structural reliability. Engineers working in this field will find here a complete outline of asymptotic approximation methods for failure probability integrals. |
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Bibliography: | Includes bibliography (p. 135-144) and index |
ISBN: | 9783540586173 3540586172 0387586172 9780387586175 3662207958 9783662207956 |
ISSN: | 0075-8434 1617-9692 |
DOI: | 10.1007/BFb0073538 |