Testing on the common mean of normal distributions using Bayesian methods

DOI10.1080/00949655.2012.744838zbMath1453.62386OpenAlexW2045276539MaRDI QIDQ5219994

Xiaosong Li, Patricia Pepple Williamson

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.744838

zbMATH Keywords

robustnessmeta-analysisBehrens-Fisher problemGraybill-Deal estimatorhighest posterior density credible interval

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Parametric hypothesis testing (62F03) Bayesian inference (62F15)

Related Items

Merging data from multiple sources: pretest and shrinkage perspectives

Cites Work

• Testing on the common mean of several normal distributions
• Statistical decision theory and Bayesian analysis. 2nd ed
• Slice sampling. (With discussions and rejoinder)
• Generalized inferences on the common mean of several normal populations
• Inferences on the Common Mean of Several Normal Populations Based on the Generalized Variable Method
• Some Statistical Procedures for Combining Independent Tests
• Sampling-Based Approaches to Calculating Marginal Densities
• Unbiased estimation of the variance of the graybill-deal estimator of the common mean of several normal populations
• Welch's Approximate Solution for the Behrens-Fisher Problem
• Combining Independent Tests in Linear Models
• Practical Solutions of the Behrens-Fisher Problem
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item