Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Confidence, likelihood, probability: An invitation
- 2 Inference in parametric models
- 3 Confidence distributions
- 4 Further developments for confidence distribution
- 5 Invariance, sufficiency and optimality for confidence distributions
- 6 The fiducial argument
- 7 Improved approximations for confidence distributions
- 8 Exponential families and generalised linear models
- 9 Confidence distributions in higher dimensions
- 10 Likelihoods and confidence likelihoods
- 11 Confidence in non- and semiparametric models
- 12 Predictions and confidence
- 13 Meta-analysis and combination of information
- 14 Applications
- 15 Finale: Summary, and a look into the future
- Overview of examples and data
- Appendix: Large-sample theory with applications
- References
- Name index
- Subject index
8 - Exponential families and generalised linear models
Published online by Cambridge University Press: 05 March 2016
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Confidence, likelihood, probability: An invitation
- 2 Inference in parametric models
- 3 Confidence distributions
- 4 Further developments for confidence distribution
- 5 Invariance, sufficiency and optimality for confidence distributions
- 6 The fiducial argument
- 7 Improved approximations for confidence distributions
- 8 Exponential families and generalised linear models
- 9 Confidence distributions in higher dimensions
- 10 Likelihoods and confidence likelihoods
- 11 Confidence in non- and semiparametric models
- 12 Predictions and confidence
- 13 Meta-analysis and combination of information
- 14 Applications
- 15 Finale: Summary, and a look into the future
- Overview of examples and data
- Appendix: Large-sample theory with applications
- References
- Name index
- Subject index
Summary
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- Confidence, Likelihood, ProbabilityStatistical Inference with Confidence Distributions, pp. 233 - 273Publisher: Cambridge University PressPrint publication year: 2016