Book contents
- Frontmatter
- Contents
- Preface
- 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
- 13 First passage and time to event distributions
- 14 Bootstrapping in the transform domain
- 15 Bayesian applications
- 16 Nonnormal bases
- References
- Index
9 - Nuisance parameters
Published online by Cambridge University Press: 25 February 2010
Book contents
- Frontmatter
- Contents
- Preface
- 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
- 13 First passage and time to event distributions
- 14 Bootstrapping in the transform domain
- 15 Bayesian applications
- 16 Nonnormal bases
- References
- Index
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Saddlepoint Approximations with Applications , pp. 285 - 322Publisher: Cambridge University PressPrint publication year: 2007