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Saddlepoint Approximations with Appl...

Butler, Ronald W.

Saddlepoint Approximations with Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Saddlepoint Approximations with Applications.
作者:	Butler, Ronald W.
出版者:	Leiden :Cambridge University Press,2007.
面頁冊數:	578 p.
叢書名:	Cambridge Series in Statistical and Probabilistic Mathematics
標題:	Method of steepest descent (Numerical analysis).
電子資源:	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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440 0 $a Cambridge Series in Statistical and Probabilistic Mathematics
505 0 $a 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 8 $a 13 First passage and time to event distributions14 Bootstrapping in the transform domain; 15 Bayesian applications; 16 Nonnormal bases; References; Index
520 $a How approximate probability calculations make complex models tractable; clear, simple explanations; real data examples.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Method of steepest descent (Numerical analysis). $3 322172
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