References
- Anzures-Cabrera, J., Higgins, J. (2010), Graphical Displays for Meta-Analysis: An Overview With Suggestions for Practice, Research Synthesis Methods, 1, 66–80.
- Arnold, B.C., Shavelle, R.M. (1998), Joint Confidence Sets for the Mean and Variance of a Normal Distribution, The American Statistician, 52, 133–140.
- Brazzale, A.R., Davison, A.C., and Reid, N. (2007), Applied Asymptotics: Case Studies in Small Sample Statistics, Cambridge, UK: Cambridge University Press.
- Chao, M.-T., Cheng, S.W. (2008), On 2-D Control Charts, Quality Technology & Quantitative Management, 5, 243–261.
- Christensen, O., Frydenberg, M. Jensen, J., and Pedersen, J.G. (2007), Tests and Confidence Intervals for an Extended Variance Component Using the Modified Likelihood Ratio Statistic, Scandinavian Statistical Journal, 34, 347–354.
- Crainiceanu, C.M., Ruppert, D. (2004), Likelihood Ratio Tests in Linear Mixed Models With One Variance Component, Journal of the Royal Statistical Society, Series B, 66, 165–185.
- Cordeiro, G., and Cribari-Neto, F. (2014), An Introduction to Bartlett Correction and Bias Reduction, New York: Springer.
- Cox, D. R. (2006), “Combination of Data” in Encyclopedia of Statistical Sciences (vol. 2), eds. S. Kotz, C. B. Read, N. Balakrishnan, and B. Vidakovic, New York: Wiley, pp.1074–1081.
- Guolo, A. (2012), Higher-Order Likelihood Inference in Meta-Analysis and Meta-Regression, Statistics in Medicine, 31, 313–327.
- Hartung, J., Knapp, G., and Sinha, B.K. (2008), Statistical Meta-Analysis with Applications, New York: Wiley.
- Higgins, J., Thompson, S.G., Spiegelhalter, D.J. (2009), A Re-evaluation of Random Effects Meta-Analysis, Journal of the Royal Statistical Society, Series A, 172, 137–159.
- Kulinskaya, E., Koricheva, J. (2010), Use of Quality Control Charts for Detection of Outliers and Temporal Trends in Cumulative Meta-Analysis, Research Synthesis Methods, 1, 297–307.
- Linkletter, C.D., Lin, C.D., Brenneman, W.A., Ranjan, P., Bingham, D.R., Lockhart, R.A., Loughlin, T.M. (2012), Compliance Testing for Random Effects Models With Joint Acceptance Criteria, Technometrics, 54, 243–255.
- Mohr, P.J., Taylor, B.N., Newell, D. (2008), CODATA Recommended Values of the Fundamental Physical Constants: 2006, Reviews of Modern Physics, 80, 633–730.
- Noma, H. (2011), Confidence Intervals for Random-Effects Meta-Analysis Based on Bartlett-Type Corrections, Statistics in Medicine, 30, 3304–3312.
- Pinheiro, J., and Bates, D. (2000), Mixed Effects Models in S and S-Plus, New York: Springer.
- Rukhin, A.L. (2011), Maximum Likelihood and Restricted Maximum Likelihood Solutions in Multiple-Method Studies, Journal of Research of the National Institute of Standards and Technology, 116, 539–556.
- Searle, S.R., Casella, G., and McCulloch, C.E. (1992), Variance Components, New York: Wiley.
- Sharma, G., Mathew, T. (2011), Higher Order Inference for the Consensus Mean in Interlaboratory Studies, Biometrical Journal, 53, 128–136.
- Spitzer, P., et al. (2013), Final Report on Key Comparison CCQM-K9, available at http://kcdb.bipm.org/AppendixB/appbresults/ccqm-k9/ccqm-k9_final_report.pdf.
- Toman, B., Fischer, J., Elster, C. (2012), Alternative Analysis of Measurements of the Planck Constant, Metrologia, 49, 567–571.
- Van Nuland, Y. (1992), ISO 9002 and the Circle Technique, Quality Engineering, 5, 269–291.
- Vangel, M.G., Rukhin, A.L. (1999), Maximum Likelihood Analysis for Heteroscedastic One–Way Random Effects ANOVA in Interlaboratory Studies, Biometrics, 55, 129–136.
- Viechtbauer, W. (2007), Confidence Intervals for the Amount of Heterogeneity in Meta-Analysis, Statistics in Medicine, 26, 37–52.
- Wimmer, G., Witkovsky, V. (2003), Between Group Variance Component Interval Estimation for the Unbalanced Heteroscedastic One-Way Random Effects Model, Journal of Statistical Computation and Simulation, 73, 333–346.