Searching for authors named Fraser Reid – sorted by Relevance.
-
Ancillary Information For Statistical Inference
- ANCILLARY INFORMATION FOR STATISTICAL INFERENCE By D.A.S. Fraser and N. Reid Department
- Cited by 6 (5 self) – Add To MetaCart
-
Ancillaries and Third Order Significance
- , and Barndorff-Nielsen (1991) and Fraser & Reid (1993; also 1990 University of Toronto Technical Report
- Cited by 10 (8 self) – Add To MetaCart
-
Strong matching of frequentist and Bayesian parametric inference
- is available in Fraser & Reid (1999). Further discussion of this is presented in Section 7. The Local Inference
- Cited by 1 (0 self) – Add To MetaCart
-
Likelihood Inference in the Presence of Nuisance Parameters
- Parameters N. Reid, D.A.S. Fraser Department of Statistics, University of Toronto, Toronto Canada M5S 3G3 We
- Add To MetaCart
-
A Simple General Formula for Tail Probabilities for Frequentist and Bayesian Inference
- .A.S. FRASER, N. REID and J. WU Department of Statistics, University of Toronto, Toronto, Canada M5S 3G3
- Cited by 12 (9 self) – Add To MetaCart
-
Estimating Functions And Higher Order Significance
- ESTIMATING FUNCTIONS AND HIGHER ORDER SIGNIFICANCE D.A.S. Fraser, N. Reid, and Jianrong Wu
- Add To MetaCart
-
Bayes Posteriors for Scalar Interest Parameters
- & Fraser, 1990, Fraser & Reid, 1993) as some parameter n !1, and suppose that ` = (; /) where / is a
- Cited by 1 (1 self) – Add To MetaCart
-
Third Order Asymptotic Model: Exponential And Location Type Approximations
- the discussion in Fraser & Reid (1993a). In this paper we consider the asymptotic approximation of the real
- Cited by 4 (3 self) – Add To MetaCart
-
Strong matching of frequentist and Bayesian inference
- 211:1999may22 Strong matching of frequentist and Bayesian inference BY D.A.S. Fraser and N. Reid
- Add To MetaCart
-
The exploration of solution options in design: A 'Naturalistic Decision Making' perspective
- , University of Plymouth. Dr Fraser J. M. Reid, Department of Psychology, University of Plymouth
- Cited by 1 (0 self) – Add To MetaCart

