Efficiently Simulating the Coverage Properties of Interval Estimates
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Summary
Methods of simulating the frequency coverage of an interval estimate bysimulating the average Bayesian posterior probability coverage are presented and can be much more efficient than the standard method that simulates the hit rate of the interval.
- Type
- article
- Published
- 1986-06-01
- Cited by
- 36
- References
- 7
- OpenAlex
- https://openalex.org/W17340865
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:117576482
Keywords
Interval (graph theory), Statistics, Mathematics, Econometrics, Applied mathematics
References
- Nonparametric standard errors and confidence intervals
- Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse
- Parametric Empirical Bayes Inference: Theory and Applications
- THE ESTIMATION OF THE LOCATION AND SCALE PARAMETERS OF A CONTINUOUS POPULATION OF ANY GIVEN FORM
- Mathematical Statistics: A Decision Theoretic Approach
- Bayesian inference in statistical analysis
- On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selection
Cited by
- Variable selection and Bayesian model averaging in case‐control studies
- Fisherian Inference in Likelihood and Prequential Frames of Reference
- Flexible Imputation of Missing Data
- Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse
- Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting
- In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist
- Inferences from DNA data: population histories, evolutionary processes and forensic match probabilities
- Long-Run Performance of Bayesian Model Averaging
- Bayesian sensitivity analysis for unmeasured confounding in observational studies
- On determination of sample size in hierarchical binomial models
- Discussion: Performance of Bayesian Model Averaging
- Quality of Coverage Analysis on Distributed Stochastic Steady-State Simulations
- Comparison of bladder cancer outcome in men undergoing hematuria home screening versus those with standard clinical presentations.
- Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control
- The Focused Information Criterion
- Bayesian methods for estimation of the size of a closed population
- Inference for the binomial N parameter: A hierarchical Bayes approach
- Interval Estimation for Messy Observational Data
- Is the impact of managed care on hospital prices decreasing?
- On automated sequential steady-state simulation.
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