Confidence intervals in general regression models that utilize uncertain prior information

Cites Work

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Model-averaged Wald confidence intervals
Confidence intervals in regression utilizing prior information
Exact adaptive confidence intervals for linear regression coefficients
Model-averaged profile likelihood intervals
Confidence intervals for the normal mean utilizing prior information
Employing vague prior information in the construction of confidence sets
Effect of a preliminary test of homogeneity of stratum-specific odds ratios on their confidence intervals
Finite sample properties of confidence intervals centered on a model averaged estimator
Shrinkage confidence procedures
Model-Averaged Confidence Intervals
Further Properties of Frequentist Confidence Intervals in Regression that Utilize Uncertain Prior Information
Improved confidence intervals for the exponential mean via tail functions
Length of Confidence Intervals
Model Selection and Model Averaging
Asymptotic Statistics
Model Selection: An Integral Part of Inference
Frequentist Model Average Estimators
The performance of model averaged tail area confidence intervals
Numerical Specification of Discrete Least Favorable Prior Distributions
On the minimum coverage probability of model averaged tail area confidence intervals
Estimation and Accuracy After Model Selection
Optimal confidence intervals for the geometric parameter
Confidence intervals centred on bootstrap smoothed estimators
Generalised Clopper–Pearson confidence intervals for the binomial proportion
The large sample coverage probability of confidence intervals in general regression models after a preliminary hypothesis test
Adaptive multigroup confidence intervals with constant coverage
Interval estimation via tail functions
Theory of Preliminary Test and Stein‐Type Estimation With Applications
Principles of Statistical Inference
Essentials of Statistical Inference
Shorter Confidence Intervals for the Mean of a Normal Distribution with Known Variance
The use of Previous Experience in Reaching Statistical Decisions
Controlling risks under different loss functions: The compromise decision problem
On confidence intervals centred on bootstrap smoothed estimators
The coverage properties of confidence regions after model selection

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