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Saddlepoint Approximations with Appl...
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Butler, Ronald W.
Saddlepoint Approximations with Applications.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Saddlepoint Approximations with Applications.
Author:
Butler, Ronald W.
Published:
Leiden :Cambridge University Press,2007.
Description:
578 p.
Series:
Cambridge Series in Statistical and Probabilistic Mathematics
Subject:
Method of steepest descent (Numerical analysis).
Online resource:
Click here to view book
ISBN:
9780511619083 (electronic bk.)
Saddlepoint Approximations with Applications.
Butler, Ronald W.
Saddlepoint Approximations with Applications.
[electronic resource]. - Leiden :Cambridge University Press,2007. - 578 p. - Cambridge Series in Statistical and Probabilistic Mathematics.
Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowledgements; 1 Fundamental approximations; 2 Properties and derivations; 3 Multivariate densities; 4 Conditional densities and distribution functions; 5 Exponential families and tilted distributions; 6 Further exponential family examples and theory; 7 Probability computation with p; 8 Probabilities with r*-type approximations; 9 Nuisance parameters; 10 Sequential saddlepoint applications; 11 Applications to multivariate testing; 12 Ratios and roots of estimating equations
How approximate probability calculations make complex models tractable; clear, simple explanations; real data examples.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511619083 (electronic bk.)Subjects--Topical Terms:
322172
Method of steepest descent (Numerical analysis).
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA297.5
Dewey Class. No.: 511.4
Saddlepoint Approximations with Applications.
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Saddlepoint Approximations with Applications.
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[electronic resource].
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Leiden :
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Cambridge University Press,
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2007.
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578 p.
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Cambridge Series in Statistical and Probabilistic Mathematics
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Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowledgements; 1 Fundamental approximations; 2 Properties and derivations; 3 Multivariate densities; 4 Conditional densities and distribution functions; 5 Exponential families and tilted distributions; 6 Further exponential family examples and theory; 7 Probability computation with p; 8 Probabilities with r*-type approximations; 9 Nuisance parameters; 10 Sequential saddlepoint applications; 11 Applications to multivariate testing; 12 Ratios and roots of estimating equations
505
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13 First passage and time to event distributions14 Bootstrapping in the transform domain; 15 Bayesian applications; 16 Nonnormal bases; References; Index
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How approximate probability calculations make complex models tractable; clear, simple explanations; real data examples.
533
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Electronic reproduction.
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Available via World Wide Web.
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Mode of access: World Wide Web.
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Method of steepest descent (Numerical analysis).
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Electronic books.
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Click here to view book
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http://dx.doi.org/10.1017/CBO9780511619083
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EB QA297.5 B986 2007
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http://dx.doi.org/10.1017/CBO9780511619083
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