Amazon cover image
Image from Amazon.com

Saddlepoint approximations with applications / Ronald W. Butler.

By: Material type: TextTextSeries: Cambridge series on statistical and probabilistic mathematicsPublication details: Cambridge : Cambridge University Press, 2007.Description: 1 online resource (xi, 564 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511342394
  • 051134239X
  • 0511341326
  • 9780511341328
  • 0511619081
  • 9780511619083
Subject(s): Genre/Form: Additional physical formats: Print version:: Saddlepoint approximations with applications.DDC classification:
  • 511.4 22
LOC classification:
  • QA297.5 .B885 2007
Other classification:
  • 31.73
  • MAT 410f
  • MAT 603f
  • MAT 652f
Online resources:
Contents:
Fundamental approximations -- Properties and derivations -- Multivariate densities -- Conditional densities and distribution functions -- Exponential families and tilted distributions -- Further exponential family examples and theory -- Probability computation with p* -- Probabilities with r*-type approximations -- Nuisance parameters -- Sequential saddlepoint applications -- Applications to multivariate testing -- Ratios and roots of estimating equations -- First passge and time to event distributions -- Bootstrapping in the transform domain -- Bayesian applications -- Nonnormal bases.
Summary: How approximate probability calculations make complex models tractable; clear, simple explanations; real data examples.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Fundamental approximations -- Properties and derivations -- Multivariate densities -- Conditional densities and distribution functions -- Exponential families and tilted distributions -- Further exponential family examples and theory -- Probability computation with p* -- Probabilities with r*-type approximations -- Nuisance parameters -- Sequential saddlepoint applications -- Applications to multivariate testing -- Ratios and roots of estimating equations -- First passge and time to event distributions -- Bootstrapping in the transform domain -- Bayesian applications -- Nonnormal bases.

How approximate probability calculations make complex models tractable; clear, simple explanations; real data examples.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

There are no comments on this title.

to post a comment.

O.P. Jindal Global University, Sonepat-Narela Road, Sonepat, Haryana (India) - 131001

Send your feedback to glus@jgu.edu.in

Hosted, Implemented & Customized by: BestBookBuddies   |   Maintained by: Global Library